供应链管理外文翻译文献

中国矿业大学矿业工程学院论文翻译课程名称供应链论文翻译姓名马X 班级工业13-X班学号 01X 日期 2016。

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11 成绩教师李XIntroduction to supply chain conceptsFirms can no longer effectively compete in isolation of their suppliers and other entities in the supply chain. Interest in the concept of supply chain management has steadily increased since the 1980s when companies saw the benefits of collaborative relationships within and beyond their own organization。

A number of definitions have been proposed concerning the concept of “the supply chain” and its management. This paper defines the concept of the supply chain and discusses the evolution of supply chain management。

The term does not replace supplier partnerships，nor is it a description of the logistics function. Industry groups are now working together to improve the integrative processes of supply chain management and accelerate the benefits available through successful implementation。

库存管理外文文献及翻译本科毕业论文外文文献及译文文献、资料题目: Zero Inventory Approach 文献、资料来源: The IUP Journal of SupplyChain Management文献、资料发表（出版）日期: 2012.06院（部）:管理工程学院专业: 工业工程班级:工业112姓名:张金丰学号: 2011021527指导教师:孔海花翻译日期:2015.06.14外文文献：Zero Inventory ApproachManaging optimal inventory in the supply chain is critical for an enterprise. The ability to increase inventory turns and the use of best inventory practices will reduce inventory costs across the supply chain. Moving towards zero inventory will result in effective inventory management in the business process. Inventory Optimization Solutions can be implemented easily using inventory optimization software. With Radio Frequency Identification (RFID) technology, inventory can be updated in real time without product movement, scanning or human involvement. Companies have to adopt best practices to optimize operational processes and lower their cost structure through inventory strategies.IntroductionWith supply chain planning and latest software, companies are managing their inventory in the best possible manner, keeping inventory holdings to the minimum without sacrificing the customer service needs. The zero inventory concept has been around since the 1980s. It tries to reduce inventory to a minimum and enhances profit margins by reducing the need for warehousing and expenses related to it.The concept of a supply chain is to have items flowing from one stage of supply to the next, both within the business and outside, in a seamless fashion. Any stock in the system is caused by either delay between the processes (demand, distribution, transfer, recording and production) or by the variation in the flow. Eliminating/reducing stock can be achieved by: linking processes, making the same throughput rate on processes, locating processes near each other and coordinating flows. Recent advanced software has made zero inventory strategy executable."Inventory optimization is an emerging practical approach to balancing investment and service-level goals over a very large assortment of Stock-Keeping Units (SKUS). In contrast to traditional ‘one-at-a-time’ marginal stock level setting, inventory optimization simultaneously determines all SKU stock levels to fulfill total service and investment constraints or objectives".Inventory optimization techniques provide a new logic to drive the system with information systems. To effectively manage inventory, businesses must also optimize the costs of buying, holding, producing, moving and selling inventory.The objective of inventory optimization is to sustain minimal levels of inventory while providing the maximum possible levels of service. Supply Chain Design and Optimization (SCDO) is an inventory optimization solution which helps companies satisfy customer demands while balancing limitations on supply and the need for operational efficiency. Inventory optimization focuses on modeling uncertainty and variability and minimizing the risks they impose on the supply chain.Inventory optimization can help resolve total supply chain cost options like:•In-house manufacturing vs. contract manufacturing;•Domestic vs. off shore;•New supplier's cost vs. current suppliers' cost.Companies can benefit from inventory optimization, provided they control their supply chain processes and the complexity of supply chain. In case the supply chain is very complex, besides inventory optimization, network design has to be used to reap the benefits fully. This paper covers various inventory models that are available and then describes the technologies like Radio Frequency Identification (RFID) and networking used for the optimization of inventory. The paper also describes the software solutions available for achieving the same. It concludes by giving a few examples where inventory optimization has been successfully implemented.Inventory ModelsHexagon ModelThe hexagon model was developed due to the need to structure day-to-day work, reduce headcount and other inventory costs and improve customer satisfaction.In the first phase, operation strategies were established in alignment with inte-rnal customers. Later, continuous improvement plans and business continuity pl-ans were added. The five strategies used were: forecasting future consumption,setting financial targets to minimize inventory costs, preparing daily reports to monitor inventory operational performance,studying critical success indicators to track the accomplishments, to forminventory strategic objectives and inventor-y health and operating strategies. The hexagon model is a combination of two triangular structures (Figure 1).The upper triangle focuses on the soft management of human resources, customer orientation and supplier relations; the lower focuses on the execution of inventory plans with their success criteria, continuous improvement methodology and business continuity plans.The inventory indicators are: total inventory value, availability of spares, days of inventory, cost of inventory, cost saving and cash saving output expen-diture and quality improvement. The hexagon model combines the elements of the people involved in managing inventory with operational excellence (Figur2).Managing inventory with operational excellence was achieved by reducing the number of employees in the material department, changing the mix of people skills such as introducing engineering into the department structure and reducing the cost of ownership of the material department to the operation that it supports.Normally, this is implemented with reduction in headcount of material department, having less people with engineering skills in the department. Operation results include, improvement in raw material supply line quality indicators, competitive days of inventory and improved and stabilized spares availability. And the financial results include, increase in cost savings and reduced cost of inventory. It can be established by outsourcing some of the inventory functions as required. The level of efficiency of the inventory managed can be measured to a specific risk level, changing requirements or changes in the environment.Just-In-Time (JIT)Just-in-time (JIT) inventory system is a concept developed by the Japanese, wherein, the suppliers deliver the materials to the factory JIT for their processing, eliminating the need for storage and retrieval. The rate of output and the rate of supply of inputs are synchronized, to manage a zero inventory.The main benefits of JIT are: set up times are significantly reduced in the factory, the flow of goods from warehouse to shelves improves, employees who possess multiple skills are utilized more efficiently, better consistency of scheduling and consistency ofemployee work hours, increased emphasis on supplier relationships and continuous round the clock supplies keeping workers productive and businesses focused on turnover.And though a JIT system might even be a necessity, given the inventory demands of certain business types, its many advantages are realized only when some significant risks like delays in movement of goods over long distances are mitigated.Vendor-Managed Inventory (VMI)Vendor-Managed Inventory (VMI) is a planning and management system in which the vendor is respons ible for maintaining the customer’s inventory levels. VMI is defined as a process or mechanism where the supplier creates the purchase orders based on the demand information. VMI is a combination of e-commerce, software and people. It has resulted in the dramatic reduction of inventory across the supply chain. VMI is categorized in the real world as collaboration, automation and cost transference.The main objectives of VMI are better, cheaper and faster transactions. In order to establish the VMI process,management commitment,data synchronization,setting up agreements,data exchange, ordering, invoice matching and measurement have to be undertaken.The benefits of VMI to an organization are reduction in inventory besides reduction of stock-outs and increase in customer satisfaction. Accurate information which is required for optimizing the supply chain is facilitated by efficient transfer of information. The concept of VMI would be successful only when there is trust between the organization and its suppliers as all the demand information is available to the suppliers which can be revealed to the competitors. VMI optimizes inventory in supply chain and reduces stock-outs by proper planning and centralized forecasting. Consignment ModelConsignment inventory model is an extension of VMI where the vendor places inventory at the customer’s location while retaining ownership of the inventory.The consignment inventory model works best in the case of new and unproven products where there is a high degree of demand uncertainty, highly expensive products and service parts for critical equipment. The types of consignment inventory ownership transfer models are: pay as sold during a pre-defined period, ownership changes after apre-defined period, and order to order consignment.The issues that the VMI and consignment inventory model encounter are cost of developing VMI system, invoicing problems, cash flow problems, Electronic Data Interchange (EDI) problems and obsolete stock.Enabling PracticesThe decision makers have to make prudent decisions on future course of action of a project relating to the following variables: Forecasting and Inventory Management,Inventory Management practices,Inventory Planning,Optimal purchase, Multichannel Inventory, Moving towards zero inventory.To improve inventory management for better forecasting, the 14 best practices that will most likely benefit business the most are:•Synchronize promotions;•Revamp the organizational structure;•Take a longer view of item planning;•Enforce vendor compliance;•Track key inventory metrics;•Select the right systems;•Master the art of master scheduling;•Adhere to exception reporting;•Identify lost demands;•Plan by assortment;•Track inbound receipts;•Create coverage reports;•Balance under stock/overstock; and•Optimize SKUs.This will leverage the retailer’s ability to buy larger quantities across all channels while buying only what is required for a specified period in order to manage risk in a better way. In most multichannel companies, inventory is the largest asset on the balance sheet, which means that their profitability will be determined to a large degree by the way they plan, forecast, and manage inventory (Curt Barry, 2007). They can follow somesteps like creating a strategy, integrating planning and forecasting, equipping with the best-laid plans and building strong vendor relationships and effective liquidation. Moving Towards Zero InventoryAt the fore is the development and widespread adoption of nimble, sophisticated software systems such as Manufacturing Resource Planning (MRP II), Enterprise Resource Planning (ERP), and Advanced Planning and Scheduling (APS) systems, as well as dedicated supply chain management software systems. These systems offer manufacturers greater functionality. To implement ‘Zero Stock’ system, companies need to have a good information system to handle customer orders, sub-contractor orders, product inventory and all issues related to production. If the company has no IT infrastructure, it will need to build it from the scratch.A good information system can help managers to get accurate data and make strategic decisions. IT infrastructure is not a cost, but an investment. A company can use RFID method, network inventory and other software tools for inventory optimization. Radio Frequency Identification (RFID)RFID is an automatic identification method, which relies on storing and remotely retrieving data using devices called RFID tags or transponders.RFID use in enterprise supply chain management increases the efficiency of inventory tracking and management. RFID application develops asset utilization by tracking reusable assets and provides visibility, improves quality control by tagging raw material, work-in-progress, and finished goods inventory, improves production execution and supply chain performance by providing accurate, timely and detailed information to enterprise resource planning and manufacturing execution system.The status of inventory can be obtained automatically by using RFID. There are many benefits of using RFID such as reduced inventory, reduced time, reduced errors, accessibility increase, high security, etc.Network InventoryA Network Inventory Management System (NIMS) tracks movement of items across the system and thus can locate malfunctioning equipment/process and provide information required to diagnose and correct problem areas. It also determines wherecapacity is to be added, calculates impact of market conditions, assesses impact of new products and the impact of a new customer. NIMS is very important when the complexity of a supply chain is high. It determines the manufacturing and distribution strategies for the future. It should take into consideration production, location, inventory and transportation.The NIMS software, including asset configuration information and change management, is an essential component of robust network management architecture.NIMS provide information that administrators can use to improve network management performance and help develop effective network asset control processes.A network inventory solution manages network resource information for multiple network technologies as well as multiple vendors in one common accurate database. It is an extremely useful tool for improving several operation processes, such as resource trouble management, service assurance, network planning and provisioning, field maintenance and spare parts management.The NIMS software, including asset configuration information and change management, is an essential component of strong network management architecture. In addition, software tools that provide planning, design and life cycle management for network assets should prominently appear on enterprise radar screens.Inventory Optimization Softwarei2 Inventory Optimizationi2 solutions enable customers to realize top and bottom-line benefits through the use of superior inventory management practices. i2 Inventory Optimization can help companies monitor, manage, and optimize strategies to decide—what to make, what to buy and from whom, what inventories to carry, where, in what form and how much—across the supply chain. It enables customers to learn and continuously improve inventory management policies and processes, strategic analysis and optimization.Product-oriented industry can install i2 Inventory Optimization and develop supply chain. Through this, the company can reduce inventory levels and overall logistics costs. It can also get higher service level performance, greater customer satisfaction, improved asset utilization, accelerated inventory turns, better product availability, reduced risk,and more precise and comprehensive supply chain visibility.Oracle Inventory OptimizationOracle Inventory Optimization considers the demand, supply, constraints and variability in extended supply chain to optimize strategic inventory investment decisions. It allows retailers to provide higher service levels to customers at a lower total cost. Oracle Inventory Optimization is part of the Oracle e-Business Suite, an integrated set of applications that are engineered to work together.Oracle Inventory Optimization provides solutions when demand and supply are in ambiguity. It provides graphic representation of the plan. It calculates cost and risk.MRO SoftwareMRO Software (now a part of IBM's Tivoli software business) announced a marketing alliance with inventory optimization specialists Xtivity to enhance the service offering of inventory management solutions for MRO Software customers. MRO offers Xtivity's Inventory Optimizer (XIO) service as an extension of its asset and service management solutions.Structured Query Language (SQL)Successful implementation of an inventory optimization solution requires significant effort and can pose certain risks to companies implementing such solutions. Structured Query Language (SQL) can be used on a common ERP platform. An optimal inventory policy can be determined by using it. Along with it, other metrics such as projected inventory levels, projected backlogs and their confidence bands can also be calculated. The only drawback of this method is that it may not be possible to obtain quick real-time results because of architectural and algorithmic complexity. However, potential scenarios can be analyzed in anticipation of results stored prior to user requests.Some ExamplesToyota’s Practice in IndiaToyota, a quality conscious company working towards zero inventory has selected Mitsui and Transport Corporation of India Ltd. (TCI) for their entire logistic solutions encompassing planning, transportation, warehousing, distribution and MIS and relateddocumentation. Infrastructure is a bottleneck that continues to dog economic growth in India. Transystem renders services like procurement, consolidation and transportation of original equipment manufacturer's parts, through milk run operations from various suppliers all over India on a JIT basis, transportation of Complete Built-up Units (CBU) from plant to all dealers in the country and operation of CBU yards, coordination and transportation of Knock Down (KD) parts from port of entry to manufacturing plant, transportation of aftermarket parts to dealers by road and air to Toyota Kirloskar Motors Pvt. Ltd.Wal-MartWal-Mart is the largest retailer in the United States, with an estimated 20% of the retail grocery and consumables business, as well as the largest toy seller in the US, with an estimated 22% share of the toy market. Wal-Mart also operates in Argentina, Brazil, Canada, Japan, Mexico, Puerto Rico and UK.Wal-Mart keeps close track of the inventories by extensively adopting vendor-managed inventory to streamline the flow of goods from manufacturer to the store shelf. This results in more turns and therefore fewer inventories.Wal-Mart is an early adopter of RFID to monitor the movement of stocks in different stages of supply chain. The company keeps tabs on all of its merchandize by outfitting its products with RFID.Wal-Mart has indicated recently that it is moving towards the aggressive theoretical zero inventory model.Chordus Inc.Chordus Inc. has the largest division of office furniture in USA. It has advanced logistics and a model of zero inventory. It has Internet-based system for distribution network with real-time updates and low costs. Chordus determined that only SAP R/3 could accommodate this cutting-edge operational model for its network of 150 dealer-owned franchises in 44 states supported by five nationwide Distribution Centers (DCs) and a fleet of 65 delivery trucks.Small Scale Cycle Industry Around LudhianaIn and around Ludhiana, there are many small bicycle units, which are notorganized.They have a sharp focus on financial and raw material management enjoying a low employee turnover. They have been practicing zero inventory models which became popular in Japan only much later. Raw material is brought into the unit in the morning, processed during the day and by evening the finished product is passed on to the next unit. Thus, the chain continues till the ultimate finished product is manufactured. In this way, the bicycles used to be produced in Ludhiana at half the production cost of TI Cycles. Even the large manufacturers of cycles, like Hero cycles, Atlas cycles and Avon cycles are reported to maintain only one week's inventory.ConclusionInventory managers are faced with high service-level requirements and many SKUs appreciate the complexity of inventory optimization, as well as the explicit control that is needed over total investment in warehousing, moving and logistics. Inventory optimization can provide both an enormous performance improvement for the supply chain and ongoing continuous improvements over competitors. The company achieves the stability needed to have enough stock to meet unpredictable demands without wasteful allocation of capital. Having the right amount of stock in the right place at the right time improves customer satisfaction, market share and bottom line. Certainly, the organizations that are able to take inventory optimization to the enterprise level will reap greater benefits. Zero inventory may be wishful thinking, but embracing new technologies and processes to manage one's inventory more efficiently could move one much closer to that ideal.中文译文：零库存方法对于一个企业来说，在供应链中优化库存管理是至关重要的。

中文3898字本科毕业论文外文翻译供应链中的战略成本管理-结构性成本管理院（系、部）名称：财经学院专业名称：财务会计教育学生姓名：学生学号：指导教师：Strategic Cost Management in Supply ChainsPart 1: Structural Cost ManagementAccounting Horizons: June 2009, Vol. 23, No. 2, pp. 201-220.Shannon W. Anderson and Henri C. DekkerAbstract: Strategic cost management is the deliberate alignment of a firm’s resources and associated cost structure with long-term strategy and short-term tactics. Although managers continue to pursue efficiency and effectiveness within the firm increasingly, Improvements are obtained across the value chain: through reconfiguring firm boundaries, relocating resources, reengineering processes, and re-evaluating product and service offerings in relation to customer requirements. In this article, we review strategic cost management, especially structural cost management. Structural cost management employs tools of organizational design, product design, and process design to create a supply chain cost structure that is coherent with firm strategy.Key wards: structural cost management; su pply cha in; competitive Advantage1 INTRODUCTIONThe prevalence in the current business press about acquisitions, restructuring, outsourcing, and off shoring indicates the vigor with which firms are engaged in the modern cost management. There’s a shift from prior internal processes for efficiency and effectiveness, firms are attempt to manage costs throughout the value chain. As the value of purchased materials and services as a share of selling price has increased ,firms find themselves managing complex supply chains, that include global suppliers, contract manufacturers, service centers and so on. Firms should pay attention to the value chain, so that they can obtain the room of development.2 STRATEGIC COST MANAGEMENTCost management research has tended to fall into two related streams. The first research stream examine whether and how firms configure accounting data to support value chain analysis ; T he second research stream attempt to derive the relationship between a firm’s strategy and cost structure. The focus is on the causal relation between activity levels and the resources that are required. These research streams take as given the firm’s strate gy and structure and focus on whether accounting records are capable of reflecting or detecting the economics of the chosen strategy. In this review we take Shank’s broader perspective that much of what constitutes strategic cost management is found in choices about organizational strategy and structure. Following Anderson, we define “strategic cost management” as deliberate decision making aimed at aligning the firm’s cost structure with its strategy and with managing the enactment of the strategy.We focus on interactions across firm boundaries; Specially, the buyer/supplier interface, as a source of competitive advantage that can deliver low cost, as well as high productivity, quality, customer responsiveness, and innovation. Shank posited that two types of cost drivers are the basis for strategic cost management: structural cost drivers that reflect organizational structure, investment decisions, and the operating leverage of the firm and executive cost drivers that reflect the efficiency of executing the strategy. Stated differently,structural cost management may be conceived of as a choice among alternative production functions that use different inputs or combinations there of to meet a particular market demand. Executive cost management is concerned instead with whether, for a given production function, the firm is on the efficientfrontier. Structural and executive cost management is connected through improvement activities. For example, cost driver analysis is a catalyst for efficiency improvements of existing processes and for reengineering processes to create a different cost structure. Clearly ,cost management is only a part of long term profit maximization. This paper series will not discuss strategic revenue management; however, we acknowledge interdependencies between costs and revenues associated structural cost management and the executive cost management activities of the sustainability of the strategy. Often the greatest opportunities for strategic cost management cross firm boundaries. Shank advocated cost management across the value chain, and other accounting scholars have called for research on how accounting facilitates modern inter-organizational relationships.3 STRUCTURAL COST MANAGEMENT IN SUPPLY CHAINSShank argued that structural cost drivers associated with organizational structure, investment decisions, and the operating leverage of the firm. In supply chain management, structural cost management includes the decision to seek an external supplier, selecting one or more external suppliers, and designing the buyer/supplier relationship. These elements of supply chain management are important determinants of cost structure and are central to managing risk in supply relations. Supplier selection processes are akin to personnel controls within the firm that ensure the fitness between employee skills and job requirements. Designing the buyer/supplier relationship encompasses formal contractual management controls such as specifying authority for supply decisions, performance requirements, and rewards or sanctions for nonperformance, as well as formal and informal controls that reinforce desired cultural norms. Although we focus on structural cost management, many of the cost management decisions discussed in this section relate to balancing th e “cost of control” against risks of inter-firm transactions. We review research and contemporary practices associated with sourcing decisions, supplier selection in the sections that follow.4 SOURCING: MAKE; BUY OR ALLYA core component of structural cost management is the decision to execute activities within the firm or to outsource them to another party. The so-called “make-buy-or-ally” decision considers how and where in the value chain firms draw their organizational boundaries and which activities ar e conducted inside versus outside the firm. Although the buyer and supplier are separate firms, the supply relationship often includes collaboration in the uncertain realm of product and process design.Transaction cost economics is the most widely used framework for explaining firm boundary and organizational design choices. Production costs are defined by production technology and efficiency. A buyer and supplier’s production costs may differ if they use different technolog y, operate at different scales, or operate with different efficiency A buyer’s cost accounting records may be one basis for comparing the “make” option with prices of external suppliers. Transaction costs concerns about opportunism associated with firm’s transactions. Examples of transaction costs include costs of activities such as searching for partners, negotiating and writing contracts, monitoring and enforcing contract compliance. Transaction costs are not typically accessible and, in the case of opportunity costs, may not even be included in cost accounting records. Consequently, texts typically warn students to consider strategic factors before making a sourcing decision based only on production costs. This is one area where cost management practices, both measurement and analysis, can be improved to better support structural cost management decisions associated with sourcing.5 INTERDEPENDENCE IN SUPPLY CHAINSAlthough we discuss the sourcing decision as a logical “starting point” in supply chain management, in reality this element of structural cost management is intertwined with other elements of strategic cost management. For example, in TCE theory, sourcing decisions are posited to reflect the minimization of anticipated exchange hazards. The potential transaction partners are important predictors of exchange hazards. However, in complex supply chains in which many suppliers contribute to the completed product, product architecture is also a key determinant of sourcing decisions. The “partnership” strategies in supply chains depend critically on using criteria other than price in supplier selection. Thus, structural cost management decisions associated with sourcing are intertwined with structural cost management practices in supplier selection .6 THE SUPPLY CHAINS AS A SOURCE OF COMPETITIVE ADV ANTAGETCE, with its underlying performance risk and relational risk, focuses on potential downsides of cooperation. Another school of thought, the resource-based view RBV of the firm, focuses on the upside of cooperation. The RBV implicates inter-firm cooperation in the realization of strategic a dvantage, with firm boundaries resulting from managers’ dynamic search for opportunities to deploy valuable, scarce, inimitable resources to obtain abnormal returns. The basis for exchange in alliances can be financial, technological, physical, or managerial resources. Studies applying the RBV to explain firm boundaries emphasize the inimitable value of collaborative partnerships.While the perspectives of TCE and risk management differ from the RBV, both assume that firm choices are motivated by the goal of maximizing long-run performance. Whereas TCE focuses on minimizing transaction costs at a given time, the RBV emphasizes the illiquidity and immobility of valuable resources. This approach admits the possibility that transacting with external parties dynamically changes the resources and capabilities that will be available in future periods. Together these frameworks point to important areas for growth in management accounting, Specifically, TCE and risk management indicate the importance of measuring risk in supply relationships and formally integrating risk assessments into the make, buy, or ally decision. The RBV indicates the importance of the emerging area of accounting for human capital and other firm capabilities and intangible assets whose value changes through exchange with strategic supply partners.7 TRENDS IN SUPPLY CHAIN GROWTHRecent years have shown tremendous growth in the use of the ally mode across different industries. In manufacturing, over the past 50 years the value of purchased materials and services has grown from 20 percent to 56 percent of the selling price of finished goods. AMR Researchfind that the typical U.S. manufacturer manages over 30 contract relationships. In 2006, the worldwide market for supply chain management software, growing at an annual rate of 8.6 percent, topped $6 billion. The global IT outsourcing market was expected to grow to almost triple that size. Growth in use of collaboration is found in firms of different sizes and from different industries. for instance, report that almost 80percent of small to large Dutch firms are involved in enduring forms of interfirm cooperation,typically managing multiple partners at the same time. The largest proportion constituted outsourcing relations, a frequency that appears to follow from its potential to generate cost reductions and increased flexibility, including the opportunity to convert fixed costs into variable costs and to benefit from economies of scale and scope.In sum, sourcingdecisions are critical to structural cost management in supply chains; how-ever, there is little evidence that cost accountants have extended their expertise to include all relevant costs. Moreover, although risk management is becoming more common and supply chain risk is foremost among the risks that firms seek to control,accountants are primarily involved with controlling and mitigating risk.8 SUPPLIER SELECTIONThe search process of finding a supply partner is itself costly, entailing as it does ident ifying alternatives, evaluating supplier capabilities, and managing the final selection process. Although TCE suggests that supplier selection is a cost-minimizing choice, the RBV identifies a broader set of decision criteria. In particular, selecting suppliers with capabilities and resources that match the buyer’s needs is critical to supply chain performance and coordination. Key capabilities that have been shown to directly impact performance include inventory management, production planning and control, cash flow requirements, and product/service quality. Das and Teng defined financial resources, technological, physical, and managerial resources as the basis for alliance activity. Prior studies find that the criteria used for supplier selection typically reflect the specific resources and competencies that are desired in potential partners. Examples include competitive pricing, supplier reliability, service support, and capabilities that may have a long-term contribution to buyers’ competitive advantage. The sel ection criteria can include “hard,” quantitative measures of performance; however, frequently they are complemented with “soft” measures that capture qualitative aspects of the desired relationship with the supplier.The success of buyer/supplier relation-ships characterized as “partnerships” is related to the buyer’s use of criteria other than price in selecting suppliers. As in the decision to outsource, the recognition of risks can be essential in supplier selection processes. Relational risks, performance risks, and their associated costs are avoided when suppliers are selected based on evidence of trustworthiness and competence. Accordingly, the selection process and selection criteria should reflect both the type of supplier resources and competencies n eeded, and the anticipated risks of the relationship. These factors also link the sourcing decision and supplier.CONCLUSIONIncreasingly, business strategy focuses on reexamining the boundaries of the firm—on establishing appropriate boundaries, identifying supply chain partners with whom to co-design efficient,effective products and processes, and managing transactions with these partners to deliver profit s to all value chain participants.Article source：2009 Accounting Horizons V ol.23.供应链中的战略成本管理-结构性成本管理摘要战略成本管理是对一个公司的资源的深入的整合，它通常把企业的成本结构和企业的长期战略和短期策略联系起来，尽管管理人员不断在企业内部追求效率和效益，然而，企业效益的日益提升最终是通过价值链获得的，即通过重组企业边界（如上游供应商、下游客户），重新定位资源，再造过程和重估与顾客需求相联系的产品和服务获得的。

IIMB Management ReviewVolume 23, Issue 4, December 2011, Pages 234–245 Sustainable supply chain management: Review and research opportunities ∙Sudheer Gupta Omkar D. Palsule-DesaiAbstractAnthropogenic emissions likely pose serious threat to the stability of our environment;immediate actions are required to change the way the earth’s resources are consumed.Among the many approaches to mitigation of environmental deterioration being considered, the processes for designing, sourcing, producing and distributing products in global markets play a central role. Considerable research effort is being devoted to understanding how organisational initiatives and government policies can be structured to facilitate incorporation of sustainability into design and management of entire supply chain. In this paper, we review the current state of academic research in sustainable supply chain management, and provide a discussion of future direction and research opportunities in this field. We develop an integrative framework summarising the existing literature under four broad categories: (i) strategic considerations; (ii) decisions at functional interfaces; (iii) regulation and government policies; and (iv) integrative models and decision support tools. We aim to provide managers and industry practitioners with a nuanced understanding of issues and trade-offs involved in making decisions related to sustainable supply chain management. We conclude the paper by discussing environmental initiatives in India and the relevance of sustainability discussions in the context of the Indian economy.Keywords∙Sustainable supply chain management;∙Green supply chains;∙Closed-loop supply chains;∙Sustainability;∙Extended producer responsibility;∙Emissions tradingIntroductionA broad consensus has by now emerged that anthropogenic emissions pose seriousthreat to the stability of our environment, and that the resulting changes will affect our ecosystem by disrupting food and water supplies, submerging coastal wetlands, and causing severe weather patterns and species extinction. The global average temperature has been rising since the early 1900s, and has risen by more than 0.5 °C in the last 50 years alone, with an accompanying rise in global average sea levels and drop in Northern Hemisphere snow cover (IPCC, 2007a). Decades of careful data collection, analysis and projections by groups of scientists and researchers around the world have confirmed that the world faces severe changes with an expected 2–4 °C rise in global average temperature by the year 2100: 30–40% of the species could beextinct, close to a third of global coastal wetlands are in danger of being submerged, millions of people will likely face food and water shortages, and many densely populated areas of the world, including many parts of Asia, will face higher rates of morbidity and mortality from heat waves, floods and droughts (IPCC, 2007b).A large part of the blame has been attributed to the six greenhouse gases (GHGs) that are known to trap heat into the earth’s atmosphere and contribute to a rise in global temperature: primary ones being carbon dioxide, methane, and nitrous oxide. As measurements have shown, concentrations of GHGs in the earth’s atmosphere have been relatively stable over the last 10,000 years (at between 250 and 300 parts per million). However, in the last 150 years or so—since the beginning of industrial revolution—concentrations of carbon dioxide in the atmosphere have shot up by more than 30% (from less than 300 ppm to close to 400 ppm), and concentrations of methane have almost doubled (IPCC, 2007a). Several large scale model projections have shown that a business-as-usual scenario, with no changes in our production methods and consumption habits, will lead to an imbalance in the ecosystem and damage the stability of our environment.There is an obvious need for urgent action to change the way we consume the earth’s resources. Among the many approaches to mitigation and adaptation being considered, the processes for designing, sourcing, producing and distributing products in global markets play a central role, as these activities account for a bulk of the resources consumed and the environmental impact. For example, in the United States, industrial activities account for about a third of fossil fuel related carbon dioxide emissions; another 40% are accounted for by transportation (EPA, 2007). Evidently, design and management of supply chain activities is a primary factor in promoting environmental sustainability.In this paper, we review the current state of academic research in designing and managing sustainable supply chains, and provide a discussion of future directions and research opportunities in this rapidly evolving field. In Section 2, we provide a definition and description of Sustainable Supply Chain Management. In Section 3, we summarise and discuss existing classifications and reviews of research in this field, and describe how our perspective differs from those in the literature. Section 4 presents the bulk of recent research in this area that fits our integrative perspective, summarised under four broad categories: (i) Strategic considerations; (ii) Decisions at functional interfaces; (iii) Regulation and government policies; and (iv) Integrative models and decision support tools. We conclude in Section 5 with a discussion of some environmental initiatives in India and the relevance of sustainability discussions in the context of the Indian economy.Sustainable Supply Chain Management (SSCM)We define Sustainable Supply Chain Management (SSCM) as a set of managerial practices that include all of the following:●Environmental impact as an imperative;●Consideration of all stages across the entire value chain for each product; and● A multi-disciplinary perspective, encompassing the entire product life-cycle.This definition implies a few broad themes in our perspective on environmental sustainability. First, firms must view environmental impact of their activities as an integral part of decision-making, rather than as a constraint imposed by government regulati on or social pressure, or as a fad to exploit by appearing to be “green”. Second, firms must pay attention to environmental impact across the entire value chain, including those of suppliers, distributors, partners and customers. Third, firms’ view of sustainability must transcend a narrow functional perspective and encompass a broader view that integrates issues, problems and solutions across functional boundaries.In keeping with this definition, our review of the literature on SSCM adopts a firm perspective, rather than societal or policy-makers’ perspective, and focuses on organisational decisions related to the entire product life-cycle that involves design, production, distribution, consumer use, post-use recovery and reuse. We do not limit ourselves to literature in any one academic discipline; rather, we focus on interactions across functional areas including corporate strategy, product design, production and inventory management, marketing and distribution, and, regulatory compliance.The paper is intended to provide managers and industry practitioners with a nuanced understanding of issues and trade-offs involved in making decisions related to SSCM. The paper is also intended to provide management researchers with a summary of the current state of the art in SSCM research, and a roadmap for future research directions.SSCM research: reviews and classificationSeveral excellent reviews have been written over the years that examine various aspects of SSCM-related research. While these reviews adopt different perspectives from ours, readers interested in exploring a particular aspect of SSCM would find them useful. For instance, many of the existing reviews explore the SSCM literature for implications of environmental concerns on firm’s individual functio ns involving activities such as product design, production planning, or inventory management. On the contrary, we examine the existing studies from a value-chain perspective, and discuss environmental concerns in managerial decisions across functions. Moreover, most of the existing reviews cover literature that is, in some cases, over a decade old. Our review focuses on more recent research in this fast changing and growing field. Early research efforts in SSCM were largely devoted to understanding the technical and operational considerations inherent in collecting, testing, sorting, and remanufacturing of returned products. Research in this domain can broadly be classified under the following headings: (i) Production planning, scheduling and control; (ii) Inventory management; and (iii) Reverse logistics. While research in these areas continues, given the availability of excellent reviews covering this domain, we will abstract from these issues in our review, and encourage the readers to consult the papers mentioned below.In an early review of the literature, Greenberg (1995) surveys the use of mathematical programming models for controlling environmental quality, focussing on air, water, and land. The paper is limited to general equilibrium models with multiple decision making agents, where an equivalent mathematical program can be formulated to compute a fixed point. The review provides an annotated bibliography with more than 300 papers, and identifies many research avenues for studies using mathematical programming in addressing environmental concerns. Fleischmann et al. (1997) focus on quantitative models of reverse logistics, and subdivide the literature in three areas: distribution planning, inventory control, and production planning. For each of these areas, the authors discuss the implications of the product reuse efforts being explored at the time, review the mathematical models proposed in the literature, and point out the areas in need of further research. Carter and Ellram (1998) also focus on reverse logistics, but present a more holistic view that includes the reduction of materials in the forward system in such a way that fewer materials flow back, reuse of materials is made possible, and recycling is facilitated. The paper develops a broadened view of the role of logistics personnel in reverse logistics, and identifies gaps where future research is needed. In particular, the authors identify important players and influencing factors (internal, external and environmental) involved in reverse logistics and provide a framework to study these issues.Gungor and Gupta (1999) focus on ‘environmentally conscious manufacturing and product recovery’, described as integrating environmental thinking into new product development including design, material selection, manufacturing processes, product delivery to the consumers, and end-of-life management of the product. The authors review and categorise more than 300 papers based on four stages of product life-cycle analysis: product design, manufacturing, use, and recovery. The paper argues that two key issues involved in ‘environmentally conscious manufacturing’ are: (i) understanding the life-cycle of the product and its impact on the environment at each of its life stages, and (ii) making better decisions during product design and manufacturing so that the environmental attributes of the product and manufacturing process are kept at a desired level. Consistent with bulk of the research efforts at the time, the review focuses on the product recovery process (divided into ‘recycling’ and ‘remanufacturing’), and provides an analysis of issues relevant in collection, disassembly, inventory control and production planning of used products. Similar issues are tackled in Guide and van Wassenhove (2002) and Guide, Jayaraman, and Srivastava (1999).In a departure from the narrower focus of articles summarised above, Kleindorfer, Singhal, and van Wassenhove (2005) review various sustainability themes covered in the first 50 issues of Production and Operations Management journal. The authors use the term sustainability broadly to include environmental management, closed-loop supply chains, and triple-bottom-line thinking that integrates profit, people and the planet into the culture, strategy and operations of companies. The authors suggest that businesses are under an increasing pressure to pay more attention to the environmental and resource consequences of the products and services they offer and the processes they deploy. In turn, operations management (OM) researchers andpractitioners face new challenges in integrating sustainability issues within their traditional areas of interest. The paper concludes with some thoughts on future research challenges in sustainable operations management, highlighting three areas—green product and process development, lean-and-green OM, and, remanufacturing and closed-loop supply chains—that integrate essential aspects of sustainable OM.“Closed loop supply chain management” (CLSC) can be defined as the design, control, and operation of a system to maximise value creation over the life-cycle of a product, with dynamic recovery of value from different types and volumes of returns over time (Guide & van Wassenhove, 2006). This perspective has gained increasing attention among researchers in the last decade. Guide and van Wassenhove (2009) focus on business aspects of closed-loop supply chain research and provide a personal perspective on value-added recovery activities, but do not review the existing literature. The authors summarise evolution of CLSC research through five phases, which is useful in understanding the evolution of a subset of research activities within SSCM. The paper claims that Phase 1 consisted of early research that focused almost exclusively on technical problems and individual activities of reverse logistics. Phase 2 has expanded research problems to include inventory control, reverse logistics networks, and remanufacturing/shop line design issues. Phase 3 involves coordinating reverse supply chains using an economic perspective and game theoretic models, understanding strategic implications of product recovery, contracting issues, incentive alignment, and channel design. Phase 4 involves ‘Global s ystem design for profitability’, that primarily includes issues such as time value of product returns and maximising value over entire product life-cycle. Phase 5 involves a focus on marketing issues such as pricing of product returns, cannibalisation, and understanding consumer behaviour.While these reviews and classifications provide different perspectives on sustainability research in supply chain management, none of them provides an integrative, comprehensive overview of the field from a firm’s perspec tive, adopting a strategic decision-based approach. We seek to integrate these perspectives in our review below.Integrative SSCMFollowing our discussion in Section 2, we consider a broad range of managerial decisions, categorised along the following dimensions:I. Strategic considerations:a. Organisational strategyb. Supply chain strategy and structurec. Marketing strategyII. Decisions at functional interfaces:d. Product design and product life-cyclee. Pricing and valuation of returnsf. Forecasting, information provision, and value of informationIII. Regulation and government policies:g. Extended producer responsibilityh. Cap and trade programsIV. Integrative models and decision support toolsIn the following sections, we briefly summarise the major issues and concerns in each of these categories, review and summarise some of the academic efforts that have addressed these issues, and outline promising avenues for future research in these areas.Strategic considerationsOrganisational strategyFrom a strategic perspective, organisational decisions on sustainability revolve around the following questions: (i) How does the organisation view sustainability? (ii) What options does the organisation have to incorporate environmental considerations into strategic decisions? (iii) How do these considerations affect theories of the firm that provide an economic rationale to firm’s existence, behaviour, structure and relationship to markets? While there are broad debates in literature on corporate social responsibility (of which sustainability discussions could be seen as a subset), we limit ourselves here to a value chain perspective and summarise the major issues via three papers that discuss, respectively, the strategic value of pollution prevention and resulting productivity gains, compare specific methods and techniques for controlling greenhouse gas emissions on their estimated costs, and outline the strategic importance of reverse value chain activities. These themes recur throughout this article and we will expand on them, and their impact on supply chain related decisions, in the following sections.In an influential article, Porter and van der Linde (1995) view pollution from the perspective of resource inefficiency, and discuss green initiatives in terms of their implications on firm’s competitiveness. In particular, t hey view the inherent trade-off between environmental regulations and competitiveness as ecology versus economy: the regulations provide social benefits via strict environmental standards, however, higher private costs for prevention and cleanup increase prices and hence reduce competitiveness. The authors argue that policy makers, business leaders, and environmentalists have focussed on the static cost impact of environmental regulations and have ignored the more important offsetting productivity benefits from innovation. Moreover, the authors claim that pollution prevention through product and process design is superior and economical to pollution control through waste management. In this regard, they propose a resource productivity framework based on innovation and improvements in operational efficiency.While Porter and van der Linde (1995) argue for the benefits of pollution prevention over pollution control,Enkvist, Naucler, and Rosander (2007) focus on GHG emissions and provide detailed cost curves that enable a deeper understanding of the significance and cost of each possible method of reducing emissions. The cost curves show estimates of the prospective annual abatement cost in Euros per ton of avoidedemissions of GHGs, as well as the abatement potential of these approaches in gigatons of emissions. The study covers six sectors (power generation, manufacturing with a focus on steel and cement, transportation, residential and commercial buildings, forestry, and agriculture and waste disposal) in six regions (North America, Western Europe, Eastern Europe including Russia, other developed countries, China, and other developing nations) spanning three time horizons (2010, 2020 and 2030). For the most part, at the low end of the curve are measures that improve energy efficiency, whereas at the higher end are approaches for adopting more greenhouse gas-efficient technologies and for shifting to cleaner industrial processes.In contrast to the papers discussed above, Jayaraman and Luo (2007) focus on reverse value chain activities (reuse, repair, refurbishing, recycling, remanufacturing, or redesign of returned products from the end-user), and present a redefined value chain strategy that entails a closed-loop system for industries in which such activities may create additional competitive advantages for the firm. The analysis presented in this paper is relevant from a strategic management perspective for the following three reasons: (i) through reverse logistics, the value chain is no longer portrayed as unidirectional, but as a closed-loop system in which additional values are generated from the existing resources; (ii) the competitive advantage paradigm can be further enlightened by a new source of competitive edge—tangible values from the physical side and intangible values from the information side of reverse logistics; (iii) the reverse logistics framework has implications for the resource-based view of the firm. Supply chain strategy and structureThe next level of organisational decisions involves the structure of the supply chain and strategic choices the firms must make in order to incorporate sustainability considerations. Research effort here has largely focused on designing the reverse supply chain to collect and re-use end-of-life products returned by customers, structuring supply chain incentives to properly motivate partners, and managing competition between remanufactured and new products. The following summary provides the major issues and findings in the literature.Savaskan, Bhattacharya, and van Wassenhove (2004) address the problem of choosing appropriate reverse channel structure for the collection of used products from customers for remanufacturing. In particular, a manufacturer in the supply chain has three options for collecting used products: (i) collect directly from the customers, (ii) incentivise the existing retailer to induce collection, or (iii) subcontract the collection activity to a third party. The proposed noncooperative game theoretic model has decentralised decision-making system with the manufacturer as the Stackelberg leader. The authors show that simple coordination mechanisms can be designed such that the collection effort of the retailer and the supply chain profits are attained at the same level as in a centrally coordinated system.Savaskan and van Wassenhove (2006) extend the above model to a multiple retailers setting. The authors focus on the interaction between a manufacturer’s reverse channel choice to collect post-consumer goods and the strategic product pricing decisions in the forward channel when retailing is competitive. They first examinehow the allocation of product collection to retailers impacts their strategic behaviour in the product market, and later discuss the economic trade-offs the manufacturer faces while choosing an optimal reverse channel structure. The authors show that when a direct collection system is used, channel profits are driven by the level of returns, whereas in the indirect reverse channel, supply chain profits are driven by the competitive interaction between the retailers. Moreover, from the supply chain coordination perspective, they show that the buy-back payments transferred to the retailers for post-consumer goods provide a wholesale pricing flexibility that can be used to price discriminate between retailers.The effect of competition from remanufactured products is a primary concern for a manufacturer. This competition can be from products the manufacturer introduces himself, or from another remanufacturer who enters the market, intercepts used products from consumers and sells remanufactured products that compete with new products from the manufacturer. Several papers have examined this issue. Majumder and Groenevelt (2001) present a two-period model to explore the effect of competition in remanufacturing. In the first period, only an OEM manufactures and sells new products. In the second period, a fraction of these items are returned for remanufacturing. However, the OEM doesn’t ge t all these returned products, some are used up by a local remanufacturer who competes with the OEM in the consumer market to sell remanufactured products. In this case, the critical trade-offs for the OEM are between the lower cost of remanufacturing in the second period against the threat of higher competition from the remanufacturer. The authors show that competition causes the OEM to manufacture less in the first period and attempt to increase local remanufacturer’s cost of remanufacturing. On the contr ary, the remanufacturer helps OEM reduce his manufacturing cost. The authors also extend the model to examine the role of a social planner who wants to increase remanufacturing. They show that the social planner can give incentives to the OEM to increase the fraction available for remanufacturing, or reduce his remanufacturing costs.Ferguson and Toktay (2006) develop models to support a manufacturer’s recovery strategy in the face of a competitive threat on the remanufactured product market. They first analyse the competition between new and remanufactured products produced by a monopolist manufacturer and identify conditions under which the firm would choose not to remanufacture its products. They then characterise the potential profit loss due to external remanufacturing competition and analyse two entry-deterring strategies: remanufacturing and preemptive collection. A major finding is that a firm may choose to remanufacture or preemptively collect its used products to deter entry, even when the firm would not have chosen to do so under a pure monopoly environment.Ferrer and Swaminathan (2006) analyse a two-period model, that is later extended to a multi-period setting, in which a firm produces new products in the first period and uses returned cores to offer remanufactured products, along with new products, in the second period. They extend their focus to the duopoly environment where an independent operator sells remanufactured products in future periods. The authorsfind that if remanufacturing is very profitable, the original-equipment manufacturer may forgo some of the first-period margin by lowering the price and selling additional units to increase the number of cores available for remanufacturing in future periods. Further, as the threat of competition increases, the OEM is more likely to completely utilise all available cores, offering the remanufactured products at a lower price. SSCM and marketing strategyWhile a large part of the SSCM literature focuses on operational decisions, a small but significant research stream has explored sustainability decisions in a supply chain from a marketing perspective. Two major issues have been examined: (i) How do market characteristics affect remanufacturing incentives? (ii) How do classical marketing decisions such as pricing and segmentation, interface with technology selection and remanufacturing decisions? The following papers provide some answers.Atasu, Sarvary, and van Wassenhove (2008) examine the remanufacturing environment from a marketing perspective with an emphasis on important characteristics of a remanufactured product such as low-cost, lower valuation, cannibalisation and supply constraints. In addition to analysing the profitability of remanufacturing systems for different cost, technology, and logistics structures, the authors provide an alternative and somewhat complementary approach that considers demand-related issues, such as the existence of `green’ segments, original-equipment manufacturer competition, and product life-cycle effects. For a monopolist, they show that there exist thresholds on the remanufacturing cost savings, the green segment size, market growth rate, and consumer valuations for the remanufactured products, above which remanufacturing is profitable. They also show that under competition, remanufacturing can become an effective marketing strategy, which allows the manufacturer to defend its market share via price discrimination.Debo, Toktay, and van Wassenhove (2005) visualise remanufacturing as an interplay between pricing, market segmentation and technology selection. In particular, the authors solve the joint pricing and production technology selection problem faced by a manufacturer that considers introducing a remanufacturable product in a market that consists of heterogeneous consumers. The objective is to understand the market and technology drivers of product remanufacturability. They show that high production costs of the single-use product, low remanufacturing costs, and low incremental costs to make a single-use product remanufacturable are the key technology drivers. The more consumers are concentrated on the lower end of the market, the lower the remanufacturing potential.While these papers provide a much-needed impetus to research in this domain, many issues remain to be examined. First, we need to identify and critically examine the firm’s incentives to invest in product durability in relation to the life-cycle environmental impact of products. Second, more research is needed in designing, pricing and promoting products with specific environmental attributes—such as lowering emissions, reducing amount of waste generated/disposed, and increasing energy efficiency—in much the same way as marketing literature has studied other。

毕业论文外文翻译原文Supply Chain Risk ManagementD.L. Olson and D. WuG lobal competition, technological change, and continual search for competitive advantage have motivated risk management in supply chains.1 Supply chains are often complex systems of networks, reaching hundreds or thousands of participants from around the globe in some cases (Wal-Mart or Dell). The term has been used both at the strategic level (coordination and collaboration) and tactical level (managementof logistics across functions and between businesses).2 In this sense, risk management can focus on identification of better ways and means of accomplishing organizational objectives rather than simply preservation of assets or risk avoidance.Supply chain risk management is interested in coordination and collaborationof processes and activities across functions within a network of organizations. Tang provided a framework of risk management perspectives in supply chains.3 Supply chains enable manufacturing outsourcing to take advantages of global relative advantages, as well as increase product variety. There are many risks inherent in this more open, dynamic system.Supply Chain Risk Management ProcessOne view of a supply chain risk management process includes steps for risk identification,risk assessment, risk avoidance, and risk mitigation.4 These structures for handling risk are compatible with Tang’s list given above, but focus on the broader aspects of the process.Risk IdentificationRisks in supply chains can include operational risks and disruptions. Operational risks involve inherent uncertainties for supply chain elements such as customer demand, supply, and cost. Disruption risks come from disasters (natural in the form of floods, hurricanes, etc.; man-made in the form of terrorist attacks or wars) and from economic crises (currency reevaluations, strikes, shifting market prices). Most quantitative analyses and methods are focused on operational risks. Disruptions are more dramatic, less predictable, and thus are much more difficult to model. Risk management planning and response for disruption are usually qualitative.Risk AssessmentTheoretically, risk has been viewed as applying to those cases where odds are known, and uncertainty to those cases where odds are not known. Risk is a preferable basis for decision making, but life often presents decision makers with cases of uncertainty. The issue is further complicated in that perfectly rational decisionmakers may have radically different approaches to risk. Qualitative risk management depends a great deal on managerial attitude towards risk. Different rational individuals are likely to have different response to risk avoidance, which usually is inversely related to return, thus leading to a tradeoff decision. Research into cognitive psychology has found that managers are often insensitive to probability estimates of possible outcomes, and tend to ignore possible events that they consider to be unlikely.5 Furthermore, managers tend to pay little attention to uncertainty involved with positive outcomes.6 They tend to focus on critical performance targets, which makes their response to risk contingent upon context.7 Some approaches to theoretical decision making prefer objective treatment of risk through quantitative scientific measures following normative ideas of how humans should make decisions. Business involves an untheoretical construct, however, with high levels of uncertainty (data not available) and consideration of multiple (often conflicting) factors, making qualitative approaches based upon perceived managerial risk more appropriate.Because accurate measures of factors such as probability are often lacking, robust strategies (more likely to enable effective response under a wide range of circumstances) are often attractive to risk managers. Strategies are efficient if they enable a firm to deal with operational risks efficiently regardless of major disruptions.Strategies are resilient if they enable a firm to keep operating despite major disruptions. Supply chain risk can arise from many sources, including the following:8● Political events● Product availability● Distance from source● Industry capacity● Demand fluctuation● Changes in technology● Changes in labor markets● Financial instability● Management turnoverRisk AvoidanceThe oldest form of risk avoidance is probably insurance, purchasing some level of financial security from an underwriter. This focuses on the financial aspects of risk, and is reactive, providing some recovery after a negative experience. Insurance is not the only form of risk management used in supply chains. Delta Airlines insurance premiums for terrorism increased from $2 million in 2001 to $152 million in 2002.9 Insurance focuses on financial risks. Other major risks include loss of customers due to supply change disruption.Supply chain risks can be buffered by a variety of methods. Purchasing is usually assigned the responsibility of controlling costs and assuring continuity of supply. Buffers in the form of inventories exist to provide some risk reduction, at a cost of higher inventory holding cost. Giunipero and Al Eltantawy compared traditionalpractices with newer risk management approaches.10 The traditional practice, relying upon extra inventory, multiple suppliers, expediting, and frequent supplier changes suffered from high transaction costs, long purchase fulfillment cycle times, and expensive rush orders. Risk management approaches, drawing upon practices such as supply chain alliances, e-procurement, just-in-time delivery, increased coordination and other techniques, provides more visibility in supply chain operations.There may be higher prices incurred for goods, and increased security issues, but methods have been developed to provide sound electronic business security. Risk MitigationTang provided four basic risk mitigation approaches for supply chains.11 These focus on the sources of risk: management of uncertainty with respect to supply, to demand, to product management, and information management. Furthermore, there are both strategic and tactical aspects involved. Strategically, network design can enable better control of supply risks. Strategies such as product pricing and rollovers can control demand to a degree. Greater product variety can strategically protect against product risks. And systems providing greater information visibility across supply chain members can enable better coping with risks. Tactical decisions include supplier selection and order allocation (including contractual arrangements); demand control over time, markets, and products; product promotion; and information sharing, vendor managed inventory systems, and collaborative planning, forecasting, and replenishment.Supply ManagementA variety of supplier relationships are possible, varying the degree of linkage between vendor and core organizations. Different types of contracts and information exchange are possible, and different schemes for pricing and coordinating schedules. Supplier Selection ProcessSupplier (vendor) evaluation is a very important operational decision. There are decisions selecting which suppliers to employ, as well as decisions with respect toquantities to order from each supplier. With the increase in outsourcing and the opportunities provided by electronic business to tap world-wide markets, these decisions are becoming ever more complex. The presence of multiple criteria in these decisions has long been recognized.12 A probabilistic model for this decision has been published to include the following criteria:131. Quality personnel2. Quality procedure3. Concern for quality4. Company history5. Price relative to quality6. Actual price7. Financial ability8. Technical performance9. Delivery history10. Technical assistance11. Production capability12. Manufacturing equipmentSome of these criteria overlap, and other criteria may exist for specific supply chain decision makers. But clearly there are many important aspects to selecting suppliers.Supplier Order AllocationOperational risks in supply chain order allocation include uncertainties in demands, supply yields, lead times, and costs. Thus not only do specific suppliers need to be selected, the quantities purchased from them needs to be determined on a recurring basis.Supply chains provide many valuable benefits to their members, but also create problems of coordination that manifest themselves in the “bullwhip” effect.14 Information system coordination can reduce some of the negative manifestations of the bullwhip effect, but there still remains the issue of profit sharing. Decisions that are optimal for one supply chain member often have negative impacts of the total profitability of the entire supply chain.15Demand ManagementDemand management approaches include using statistics in models for identification of an optimal portfolio of demand distributions16 and economic models to select strategies using price as a response mechanism to change demand.17 Other strategies include shifting demand over time, across markets, or across products. Demand management of course is one of the aims of advertising and other promotional activities. However,it has long been noted as one of the most difficult things to predict over time.Product ManagementAn effective strategy to manage product risk is variety, which can be used to increase market share to serve distinct segments of a market. The basic idea is to diversify products to meet the specific needs of each market segment. However, while this would be expected to increase revenues and market share, it will lead to increase manufacturing costs and inventory costs. Various ways to deal with the potential inefficiencies in product variety include Dell’s make-to-order strategy. Supply Chain DisruptionTang classified supply chain vulnerabilities as those due to uncertain economic cycles, customer demand, and disasters. Land Rover reduced their workforce by over one thousand when a key supplier went insolvent. Dole was affected by Hurricane Mitch hitting their banana plantations in Central America in 1998. September 11, 2001 suspended air traffic, leading Ford Motor Company to close five plants for several days.18 Many things can disrupt supply chains. Supply chain disruptions have been found to negatively impact stock returns for firms suffering them.19Supply Chain RisksRecent research into supply chain risk covers many topics.New Technology RiskGolda and Phillipi20 considered technical and business risk components of the supply chain. Technical risks relate to science and engineering, and deal with the uncertainties of research output. Business risks relate to markets, human responses to products and/or related services. At Intel, three risk mitigation strategies were considered to deal with the risks associated with new technologies:1. Partnerships, with associated decisions involving who to partner with, and at what stage of product development2. Pursue extendable solutions, evolutionary products that will continue to offer value as new technical breakthroughs are gained3. Evaluate multiple options to enable commercializationPartner Selection RiskPartner (to include vendor) evaluation is a very important operational decision. Important decisions include which vendors to employ and quantities to order from each vendor. With the increase in outsourcing and the opportunities provided by electronic business to tap world-wide markets, these decisions are becoming ever more complex. The presence of multiple criteria in these decisions has long been recognized.21Outsourcing RisksOther risks are related to partner selection, focusing specifically on the additional risks associated with international trade. Risks in outsourcing can include:22● Cost – unforeseen vendor selection, transition, or management●Lead time –delay in production start-up, manufacturing process, or transportation● Quality – minor or major finishing defects, component fitting, or structural Defects Outsourcing has become endemic in the United States, especially information technology to India and production to China.23 Risk factors include:● Ability to retain control● Potential for degradation of critical capability● Risk of dependency● Pooling risk (proprietarial information, clients competing among themselves) ● Risk of hidden costsEcological RisksIn our ever-more complex world, it no longer is sufficient for each organization to make decisions in light of their own vested self-interest. There is growing concern with the impact of human decisions on the state of the earth. This is especially true in mass production environments such as power generation,24 but also is important in all aspects of business. Cruz (2008) presented a dynamic framework for modeling and analysis of supply chain networks in light of corporate social responsibility.25 That study presented a framework multiple objective programming model with the criteria of maximizing profit, minimizing waste, and minimizing risk. Multiple Criteria Selection ModelA number of methodologies are applied in practice, to include simple screening and scoring methods,26 supplier positioning matrices to lay out risks by vendor, withassociated ratings,27 and a combination of sorts combining risk categorization with ratings of opportunity, probability, and severity.28 Traditional multiple criteria methods have also been applied, to include analytic hierarchy process.29 The simple multiattribute rating theory (SMART)30 model bases selection on the rank order of the product of criteria weights and alternative scores over these criteria, and will be used here. Note that we are demonstrating, and are not claiming that the orders and ratings used are universal. We are rather presenting a method that real decision makers could use with their own ratings (and even with other criteria that they might think important in a given application).OptionsThere are various levels of outsourcing that can be adopted. These range from simply outsourcing particular tasks (much like the idea of service oriented architecture), co-managing services with partners, hiring partners to manage services, and full outsourcing (in a contractual relationship). We will use these four outsourcing relationships plus the fifth option of doing everything in-house as our options. CriteriaWe will utilize the criteria given below:● Cost (including hidden)● Lead time● Quality● Ability to retain control● Potential loss of critical capability● Risk of dependency● Risk of loss of proprietarial information● Risk of client contentionThe SMART method begins by rank ordering criteria. Here assume the following rank order of importance: 1. Ability to retain control2. Risk proprietarial information loss3. Quality of product and service4. Potential loss of critical capability5. Risk of dependency6. Cost7. Lead time8. Risk of client contentionThe next step is to develop relative weights of importance for criteria. We will do this by assigning the most important criterion 100 points, and give proportional ratings for each of the others as given in Table 5.1:Weights are obtained by dividing each criterion’s assigned point value by the total of points (here 435). This yields weights shown in Table 5.2:Scoring of Alternatives over CriteriaThe next step of the SMART method is to score alternatives. This is an expression by the decision maker (or associated experts) of how well each alternative performs on each criterion. Scores range from 1.0 (ideal performance) to 0 (absolute worst performance imaginable). This approach makes the scores independent of scale, andindependent of weight. Demonstration is given in Table 5.3:Once weights and scores are obtained, value functions for each alternative are simply the sum products of weights times scores for each alternative. The closer to 1.0 (the maximum value function), the better. Table 5.4 shows value scores for the five alternatives:The outcome here is that in-house operations best satisfy the preference function of the decision maker. Obviously, different weights and scores will yielddifferent outcomes. But the method enables decision makers to apply a sound but simple analysis to aid their decision making.译文：供应链风险管理D.L. Olson 和D. Wu全球竞争，技术变化，以及不断寻找具有竞争优势的动机的供应链风险管理。

物流管理的文献以下是一些关于物流管理的经典文献：1. Ballou, R. H. (2007). Business logistics/supply chain management. Pearson Education India. (巴洛, R. H. (2007). 《物流管理/供应链管理》。

印度皮尔逊教育公司。

)2. Coyle, J. J., Langley Jr, C. J., & Gibson, B. J. (2016). Supply chain management: A logistics perspective. Nelson Education. (科尔, J. J., 兰利, C. J., & 吉布森, B. J. (2016). 《供应链管理：物流视角》。

纳尔逊教育公司。

)3. Christopher, M. (2016). Logistics & supply chain management. Pearson UK. (克里斯托弗, M. (2016). 《物流与供应链管理》。

英国皮尔逊出版公司。

)4. Chopra, S., & Meindl, P. (2015). Supply chain management: Strategy, planning, and operation. Pearson Education. (乔普拉, S., & 迈恩德尔, P. (2015). 《供应链管理：战略、规划和操作》。

皮尔逊教育公司。

)5. Sheffi, Y. (2018). The resilient enterprise: Overcoming vulnerability for competitive advantage. MIT Press. (谢菲, Y. (2018). 《弹性企业：克服脆弱性取得竞争优势》。

麻省理工学院出版社。

毕业设计(论文)外文资料翻译外文出处：The ABCs of Supply Chain (用外文写)Management附件：1.外文资料翻译译文；2.外文原文。

附件1：外文资料翻译译文供应链管理ABC1．什么是供应链管理供应链是一种关于整合的科学和艺术，它主要探究提高企业采购生产商品所需的原材料、生产商品，并把它供应给最终顾客的效率的途径。

以下是供应链管理的五个基本组成模块：计划--它是供应链的战略层面。

企业需要有一个控制所有资源的战略以满足客户对产品或服务的需求。

计划的核心是建立一套机制去监控整条供应链以便使它能有效运作：低成本、高品质配送和增值客户服务。

该模块连结着供应链的作业与营运目标，主要包括需求/供给规划（Demand/Supply Planning）与规划基础建设（infrastructure）两项活动，对所有采购运筹流程、制造运筹流程与配送运筹流程进行规划与控制。

需求/供给规划活动包含了评估企业整体产能与资源、总体需求规划以及针对产品与配销管道，进行存货规划、配送规划、制造规划、物料及产能的规划。

规划基础建设管理包含了自制或外包决策的制定、供应链的架构设计、长期产能与资源规划、企业规划、产品生命周期的决定、新旧产品线规划与产品线的管理等。

采购—选择供给你提供用来生产产品或服务的原材料或服务的供应商。

和供应商建立一套价格、供应、支付过程的体系，创造一种机制以监控此过程、改善供应商关系。

理顺此过程以管理供应商交付的原材料库存或服务，其中包括收货、出货、检验、中转和批准支付。

此模块有采购作业与采购基础建设两项管理活动，其目的是描述一般的采购作业与采购管理流程。

采购作业包含了寻找供货商、收料、进料品检、拒收与发料作业。

采购基础建设的管理包含了供货商评估、采购、运输管理、采购品质管理、采购合约管理、付款条件管理、采购零组件的规格制定。

制造—这是制造步骤。

计划这些必需的活动：生产、测试、包装、预出货。

外文翻译The ABCs of Supply Chain Management Material Source：ABC The ABCs of Supply Chain Management 2010 Author：By Christopher Koch1.What is supply chain management?Supply chain management is the combination of art and science that goes into improving the way your company finds the raw components it needs to make a product or service, manufactures that product or service and delivers it to customers. The following are five basic components for supply chain management.Plan-This is the strategic portion of supply chain management. You need a strategy for managing all the resources that go toward meeting customer demand for your product or service. A big piece of planning is developing a set of metrics to monitor the supply chain so that it is efficient, costs less and delivers high quality and value to customers.Source-Choose the suppliers that will deliver the goods and services you need to create your product or service. Develop a set of pricing, delivery and payment processes with suppliers and create metrics for monitoring and improving the relationships. And put together processes for managing the inventory of goods and services you receive from suppliers, including receiving shipments, verifying them, transferring them to your manufacturing facilities and authorizing supplier payments.Make-This is the manufacturing step. Schedule the activities necessary for production, testing, packaging and preparation for delivery. As the most metric-intensive portion of the supply chain, measure quality levels, production output and worker productivity.Deliver-This is the part that many insiders refer to as "logistics." Coordinate the receipt of orders from customers, develop a network of warehouses, pick carriers to get products to customers and set up an invoicing system to receive payments.Return-The problem part of the supply chain. Create a network for receiving defective and excess products back from customers and supporting customers who have problems with delivered products.For a more detailed outline of these steps, check out the nonprofit Supply-Chain Council's website at.2.What does supply chain management software do?Supply chain management software is possibly the most fractured group of software applications on the planet. Each of the five major supply chain steps previously outlined composes dozens of specific tasks, many of which have their own specific software. There are some large vendors that have attempted to assemble many of these different chunks of software together under a single roof, but no one has a complete package. Integrating the different software pieces together can be a nightmare. Perhaps the best way to think about supply chain software is to separate it into software that helps you plan the supply chain and software that helps you execute the supply chain steps themselves.Supply chain planning (SCP) software uses fancy math algorithms to help you improve the flow and efficiency of the supply chain and reduce inventory. SCP is entirely dependent upon information for its accuracy. If you're a manufacturer of consumer packaged goods for example, don't expect your planning applications to be very accurate if you can't feed them accurate, up-to-date information about customer orders from your retail customers, sales data from your retailer customers' stores, manufacturing capacity and delivery capability. There are planning applications available for all five of the major supply chain steps previously listed. Arguably the most valuable (and complex and prone to error) is demand planning, which determines how much product you will make to satisfy your different customers' demands.Supply chain execution (SCE) software is intended to automate the different steps of the supply chain. This could be as simple as electronically routing orders from your manufacturing plants to your suppliers for the stuff you need to make your products.For an expanded overview of this topic, read the Supply Chain Executive Summary.3.Do I need to have ERP software before I install supply chain software?This is a very controversial subject. You may need ERP if you plan to install SCP applications because they are reliant upon the kind of information that is stored in the most quantity inside ERP software. Theoretically you could assemble the information you need to feed the SCP applications from legacy systems (for most companies this means Excel spreadsheets spread out all over the place), but it can be nightmarish to try to get that information flowing on a fast, reliable basis from allthe areas of the company. ERP is the battering ram that integrates all that information together in a single application, and SCP applications benefit from having a single major source to go to for up-to-date information. Most CIOs who have tried to install SCP applications say they are glad they did ERP first. They call the ERP projects "putting your information house in order." Of course, ERP is expensive and difficult, so you may want to explore ways to feed your SCP applications the information they need without doing ERP first.SCE applications are less dependent upon gathering information from around the company, so they tend to be independent of the ERP decision. But chances are, you'll need to have the SCE applications communicate with ERP in some fashion. It's important to pay attention to SCE software's ability to integrate with the Internet and with ERP or SCP applications because the Internet will drive demand for integrated information. For example, if you want to build a private website for communicating with your customers and suppliers, you will want to pull information from SCE, SCP and ERP applications together to present updated information about orders, payments, manufacturing status and delivery.4.What is the goal of installing supply chain management software?Before the Internet came along, the aspirations of supply chain software devotees were limited to improving their ability to predict demand from customers and make their own supply chains run more smoothly. But the cheap, ubiquitous nature of the Internet, along with its simple, universally accepted communication standards have thrown things wide open. Now, theoretically anyway, you can connect your supply chain with the supply chains of your suppliers and customers together in a single vast network that optimizes costs and opportunities for everyone involved. This was the reason for the B2B explosion; the idea that everyone you do business with could be connected together into one big happy, cooperative family.Of course, the reality behind this vision is that it will take years to come to fruition. But considering that B2B has only been around for a few years, some industries have already made great progress, most notably consumer-packaged goods (the companies that make products that go to supermarkets and drug stores), high technology and autos.When you ask the people on the front lines in these industries what they hope to gain from their supply chain efforts in the near term, they will all respond with a single word: visibility. The supply chain in most industries is like a big card game. The players don't want to show their cards because they don't trust anyone else withthe information. But if they showed their hands they could all benefit. Suppliers wouldn't have to guess how much raw materials to order, and manufacturers wouldn't have to order more than they need from suppliers to make sure they have enough on hand if demand for their products unexpectedly goes up. And retailers would have fewer empty shelves if they shared the information they had about sales of a manufacturer's product in all their stores with the manufacturer. The Internet makes showing your hand to others possible, but centuries of distrust and lack of coordination within industries make it difficult.译文供应链管理ABC资料来源：供应链管理的基本状况，2010 作者：葛德华克里斯1．什么是供应链管理供应链是一种关于整合的科学和艺术，它主要探究提高企业采购生产商品所需的原材料、生产商品，并把它供应给最终顾客的效率的途径。

本科毕业设计（论文）中英文对照翻译(此文档为word格式,下载后您可任意修改编辑!)文献出处：Pack Hagen. The most important aspect in supply chain management: information sharing [J]. The International Journal of Advanced Manufacturing Technology, 2017, 2(12): 397-407.原文The most important aspect in supply chain management:informationsharingPack Hagen.1 IntroductionAdvances in information technology enable information availability, which facilitates communication, coordination, and collaboration among supply chain partners through information sharing. Supply chain management literature reveals that through better information linkages among business partners, various deficiencies, which include long lead times, large batch sizes, high inventory levels, slow new product design and development, and long order fulfillment cycles, can be mitigated or reduced.Even though information sharing can be extremely beneficial, it is not sufficient to fully reduce the impact of uncertainty inherent to supply chain dynamics. For instance, since Forrester’s work on the bullwhip effect (1961), there has been a long debate and unsettled dispute on whether or not sharing information is always beneficial to avoid it. In addition, researchers have also noted that the benefits of information sharing depend on the type of information, as well as the demand patterns and capacity constraints.In this study, the effect of information sharing among business partners on on-time delivery rate and total cost is investigated via simulation of a generic, hypothetical supply chain model. While information sharing in the supply chain has been researched extensively, the effect of sharing of resource reliability information (i.e., occurrence of various failures and equipment breakdowns) on supply chain performancehas not. The experimental factors are (1) capacity tightness (three levels), (2) reliability (three levels), and (3) information sharing modes, which are sharing of reliability information, customer demand, and inventory level. This paper is organized as follows: A literature survey on supply chain dynamics is presented in Section 2. Experimental factors, along with a brief literature on information sharing, are outlined in Section 3. Development of the model is explained in Section 4. Experimental results are discussed in Sections 5 and 6. Conclusions are presented in Section 7.2 Supply chain dynamicsSupply chain management has been studied by many researchers. In addition to traditional supply chain management topics, such as operational planning, strategic planning, and logistics, the literature includes a variety of studies that investigate supply chain management from different perspectives: supply networks, chaos perspective, risk management, supply chain dynamics, uncertainty, classification and taxonomy issues, and e-commerce.For an extensive review of the relevant literature, please refer to Min and Zhou, Huang et al., Goknur and Turan, and Chan and Chan.Making decisions in a supply chain involves a feedback process triggering interaction between system entities; a time delay is observed when there is a lag between when a decision is made and when its effect is felt, which often further complicates the interaction between entities.As studied by Forrester, who discovered the fluctuation and amplification of demand from downstream to upstream of the supply chain, ―feedback–interaction–delay‖ are inherent to many processes in a supply chain, inducing variability, uncertainty, and instability that make supply chain a complex, dynamic system.In the context of ―system dynamics,‖ a supply chain can be defined as a chain of consecutive, sequentially interdependent local transaction systems. The interdependency in supply chains leads to conflicting, local objectives, and thus, trade-offs must be managed properly through cooperation and collaboration. As one of the pioneers in this area, Forrester lists oscillation in order and demand, amplification in order and inventory, and time lag in order and material flow as the three aggregate behaviors that affect supply chain dynamics. De Souza et al. define supply chain dynamics in two parts: (1) dynamics of orders as the difference between a firm’s response and the demand and (2) dynamics of inventory as the difference between the firm’s expected inventory level and actual inventory level. They expand on Forrester’s conclusion and define seven causes of the supply chain dynamics: Rationing and short gaming；Capacity constraints；Information delay；Poor coordination；Material delay；Demand signaling；Order batching.The above-mentioned factors introduce uncertainty that propagates through the supply chain. Davis classifies uncertainty under supply, manufacturing process and demand sides of the supply chain. Mason-Jones and Towill add control systems uncertainty to Davis’s classification. V an der V orst and Beulens define supply chain uncertainty as follows:Supply chain uncertainty refers to decision making situations in the supply chain in which the decision maker does not know definitely what to decide as he is indistinct about the objectives; lacks information about (or understanding of) the supply chain or its environment; lacks information processing capacities; is unable to accurately predict the impact of possible control actions on supply chain behavior; or, lacks effective control actions (noncontrollability). The sources of supply uncertainty are globalization, specialization, and outsourcing. Globalization and specialization combine to make a potentially volatile situation. Globalization of manufacturing processes is often due to some competitive advantage to be gained by globalizing. Specialization of production facilities leads to economies of scale. To gain economies of scale and competitive advantage, these two are often done in tandem. Specialization and globalization also both have a tendency to increase travel distance for products and transportation time, which in turn increases inventories in transit. Specialization comes at great risk becauseco-located production increases uncertainty about supply in politically unstable environments or impending natural disasters. Outsourcing of processes is known to reduce the control of the overall process to a manufacturing firm. Supply uncertainty is described as being supply risk. Supply risk as well as uncertainty characteristics can have an empirical representation. Qualitative analysis is the preferred method because of the difficulties in quantifying the risk characteristics. Qualitative evaluation of supply uncer-tainty, strategy, and risk mitigation are the suggested methods to handle supply uncertainty. Manufacturing (i.e., process) uncertainty has been extensively studied in the literature and sources of internal uncertainty are well-known and typically managed within a manufacturing environment. The primary source of internal uncertainty is equipment failure, which causes downtime. Preventative maintenance and condition based maintenance techniques have become standard practice. Maintenance affects the mean time to failure (MTTF); thus, availability is affected by maintenance. Prognostic systems are being investigated to better predict failures before they happen. In addition to mechanical type of failures, other causes of irregular failures include labor strikes, political unrest, and natural disasters, which may affect the performance of a facility and the overall performance in a supply chain. Demand uncertainty has been widely addressed in the literature. Customer demand is driven by customer consumption habits, customer expectations, andproduct knowledge. Thus, future customer demand is difficult to accurately predict. Uncertain demand can be managed by make-to-order systems, which depend on high level of customization capability and shorter lead times, while a stable demand environment can be managed by make-to-forecast systems, which rely on relatively large inventories created based upon forecast to provide standardized products. Most supply chains operate in between these two extremes; the difference is the amount of product customization or postponement of the product assembly that occurs in the supply chain. Uncertainty and information scarcity describe the typical supply chain environment. Lack of information or insufficient level of information availability leads to incomplete information. Not sharing the information that is available with other entities in the supply chain also creates the same effect. With advanced information technology (IT) tools, such as radiofrequency identification (RFID) systems, information can be first made available, which improves operational visibility, and then can be shared at various levels.The information sharing in supply chains literature includes various studies that range from demand information sharing to product information sharing to inventory information sharing. The literature review shows that true information sharing capability facilitated by advanced IT tools is limited by the willingness of the decision makers toshare information. However, there is no consensus among the researchers on the actual benefits provided by information sharing. The reasons for the disagreement are due to the differences in supply chain configurations including different manufacturing strategies—such as make to order, make to stock, assembly to order [9], levels and modes of information sharing, information sharing process itself as in the case of auction-based models ,and timeliness of information shared (i.e., time delay). This paper investigates via simulation the impact of different information sharing modes, subject to capacity constraints in the presence of resource failures, on on-time delivery rate, and total cost in a supply chain. 3 Experimental factorsIn this study, the effect of information sharing among business partners on the performance of a supply chain is investigated via simulation using three experimental factors: (1) capacity tightness (three levels), (2) reliability (three levels), and (3) information sharing modes (sharing of reliability information, customer demand, and inventory level).The capacity tightness factor provides a level of internal flexibility for a manufacturing enterprise in order to adjust and respond to requirements in supply and demand sides, as studied by Gavirneni et al. and Chan and Chan.The reliability factor introduces uncertainty due to manufacturing-level (i.e., process) breakdowns, which in turn affectcapacity and on-time delivery, as emphasized by Cachon and Fisher and Y u et al.3.1 Capacity tightnessCapacity tightness is defined as follows: When Ctightness is greater than 1, then the total capacity is adequate to meet the total demand. Conversely, if Ctightness is less than 1, then there is insufficient capacity to meet the demand. Capacity tightness has been studied in the context of information sharing in a supply chain. Studies of capacity tightness with various information sharing modes and find that when capacity tightness is large or small, information sharing does not add any value. Examinations of capacity tightness with real-time order revision over a single production period with a variety of product mix report capacity buffers are not significant under demand uncertainty, when real-time order revision is employed.3.2 ReliabilityThe reliability on the logistics portion of a supply chain has been sparsely researched. Logistics reliability is synonymous with on-time delivery rate. Originally, mixed integer programming was used to determine cost given supplier reliability on logistics in a pure probabilistic manner between supplier and manufacturer. An extension of this examination including the reliability of logistics between suppliers,manufacturers, and distributors overall on-time delivery rate was determined. A review of global logistics systems concludes that supplier reliability has been scarcely explored as a factor of uncertainty. Logistics reliability for contingency planning, where supply and demand are random with deterministic logistics failure rates, concludes that network configuration, information sharing, and network rules effect on-time delivery rate.Supplier reliability has been modeled using two methods: the machine breakdown method and the availability of supplier method. The machine breakdown method focuses on the production and inventory methods of the supplier. The availability of supplier method examines longer-term effects of unavailability on the immediate upstream purchaser. Nonetheless, the focus of these studies is on a single entity only and not the whole supply chain.3.3 Information sharing modesA study using order, inventory, and customer demand information sharing in a capacitated two-echelon supply chain with a manufacturer and a retailer found information sharing is significant under all condition. Similarly, across all conditions, capacity is shown to be significant on the reduction of holding costs. Although both capacity and information sharing are significant under every condition, the interaction effects arenot studied.Similarly, an analysis comparing customer demand and inventory information sharing versus no information sharing between a retailer and supplier finds that there is a significant improvement when sharing customer demand and inventory information versus no information sharing. However, the improvement is not from information sharing but instead from information technologies that force lead time and batch size reductions. An analytical comparison of a two-echelon supply chain with no stationary demand comparing no information sharing against customer demand information sharing finds that customer demand information is significantly superior on cost compared to no information sharin. Additionally, customer demand information’s superiority is made more evident when lead time is long, customer demand variability is high, or customer demand is auto-correlated over time. A comparison of production schedule combined with customer demand versus no information sharing finds that with customer demand and production schedule information, production is on a make-to-order basis, whereas with no information sharing production is on a make-to-stock basis. Operational and inventory costs are shown to be lower, when production schedule and customer demand information are shared compared to no information sharing.A comparison of order, inventory, and customer demand informationsharing when order intervals and quantities vary finds customer demand information, across all order quantities and intervals, outperforms inventory information and order information on cost and order fulfillment .Similarly, inventory information is significantly better than order information sharing. In a divergent two-echelon supply chain, a study of three modes of information sharing—no information sharing, demand information sharing, and order information sharing—concludes that the information sharing modes performance increases with additional visibility .译文供应链管理的重中之重：信息共享培根·哈根1引言当今，信息技术飞速发展，这使得更容易了解信息、促进了沟通与协调，并通过信息共享来促进供应链合作伙伴之间的协作。

毕业论文外文翻译原文Supply Chain Risk ManagementD.L. Olson and D. WuG lobal competition, technological change, and continual search for competitive advantage have motivated risk management in supply chains.1 Supply chains are often complex systems of networks, reaching hundreds or thousands of participants from around the globe in some cases (Wal-Mart or Dell). The term has been used both at the strategic level (coordination and collaboration) and tactical level (managementof logistics across functions and between businesses).2 In this sense, risk management can focus on identification of better ways and means of accomplishing organizational objectives rather than simply preservation of assets or risk avoidance.Supply chain risk management is interested in coordination and collaborationof processes and activities across functions within a network of organizations. Tang provided a framework of risk management perspectives in supply chains.3 Supply chains enable manufacturing outsourcing to take advantages of global relative advantages, as well as increase product variety. There are many risks inherent in this more open, dynamic system.Supply Chain Risk Management ProcessOne view of a supply chain risk management process includes steps for risk identification,risk assessment, risk avoidance, and risk mitigation.4 These structures for handling risk are compatible with Tang’s list given above, but focus on the broader aspects of the process.Risk IdentificationRisks in supply chains can include operational risks and disruptions. Operational risks involve inherent uncertainties for supply chain elements such as customer demand, supply, and cost. Disruption risks come from disasters (natural in the form of floods, hurricanes, etc.; man-made in the form of terrorist attacks or wars) and from economic crises (currency reevaluations, strikes, shifting market prices). Most quantitative analyses and methods are focused on operational risks. Disruptions are more dramatic, less predictable, and thus are much more difficult to model. Risk management planning and response for disruption are usually qualitative.Risk AssessmentTheoretically, risk has been viewed as applying to those cases where odds are known, and uncertainty to those cases where odds are not known. Risk is a preferable basis for decision making, but life often presents decision makers with cases of uncertainty. The issue is further complicated in that perfectly rational decisionmakers may have radically different approaches to risk. Qualitative risk management depends a great deal on managerial attitude towards risk. Different rational individuals are likely to have different response to risk avoidance, which usually is inversely related to return, thus leading to a tradeoff decision. Research into cognitive psychology has found that managers are often insensitive to probability estimates of possible outcomes, and tend to ignore possible events that they consider to be unlikely.5 Furthermore, managers tend to pay little attention to uncertainty involved with positive outcomes.6 They tend to focus on critical performance targets, which makes their response to risk contingent upon context.7 Some approaches to theoretical decision making prefer objective treatment of risk through quantitative scientific measures following normative ideas of how humans should make decisions. Business involves an untheoretical construct, however, with high levels of uncertainty (data not available) and consideration of multiple (often conflicting) factors, making qualitative approaches based upon perceived managerial risk more appropriate.Because accurate measures of factors such as probability are often lacking, robust strategies (more likely to enable effective response under a wide range of circumstances) are often attractive to risk managers. Strategies are efficient if they enable a firm to deal with operational risks efficiently regardless of major disruptions.Strategies are resilient if they enable a firm to keep operating despite major disruptions. Supply chain risk can arise from many sources, including the following:8● Political events● Product availability● Distance from source● Industry capacity● Demand fluctuation● Changes in technology● Changes in labor markets● Financial instability● Management turnoverRisk AvoidanceThe oldest form of risk avoidance is probably insurance, purchasing some level of financial security from an underwriter. This focuses on the financial aspects of risk, and is reactive, providing some recovery after a negative experience. Insurance is not the only form of risk management used in supply chains. Delta Airlines insurance premiums for terrorism increased from $2 million in 2001 to $152 million in 2002.9 Insurance focuses on financial risks. Other major risks include loss of customers due to supply change disruption.Supply chain risks can be buffered by a variety of methods. Purchasing is usually assigned the responsibility of controlling costs and assuring continuity of supply. Buffers in the form of inventories exist to provide some risk reduction, at a cost of higher inventory holding cost. Giunipero and Al Eltantawy compared traditionalpractices with newer risk management approaches.10 The traditional practice, relying upon extra inventory, multiple suppliers, expediting, and frequent supplier changes suffered from high transaction costs, long purchase fulfillment cycle times, and expensive rush orders. Risk management approaches, drawing upon practices such as supply chain alliances, e-procurement, just-in-time delivery, increased coordination and other techniques, provides more visibility in supply chain operations.There may be higher prices incurred for goods, and increased security issues, but methods have been developed to provide sound electronic business security. Risk MitigationTang provided four basic risk mitigation approaches for supply chains.11 These focus on the sources of risk: management of uncertainty with respect to supply, to demand, to product management, and information management. Furthermore, there are both strategic and tactical aspects involved. Strategically, network design can enable better control of supply risks. Strategies such as product pricing and rollovers can control demand to a degree. Greater product variety can strategically protect against product risks. And systems providing greater information visibility across supply chain members can enable better coping with risks. Tactical decisions include supplier selection and order allocation (including contractual arrangements); demand control over time, markets, and products; product promotion; and information sharing, vendor managed inventory systems, and collaborative planning, forecasting, and replenishment.Supply ManagementA variety of supplier relationships are possible, varying the degree of linkage between vendor and core organizations. Different types of contracts and information exchange are possible, and different schemes for pricing and coordinating schedules. Supplier Selection ProcessSupplier (vendor) evaluation is a very important operational decision. There are decisions selecting which suppliers to employ, as well as decisions with respect toquantities to order from each supplier. With the increase in outsourcing and the opportunities provided by electronic business to tap world-wide markets, these decisions are becoming ever more complex. The presence of multiple criteria in these decisions has long been recognized.12 A probabilistic model for this decision has been published to include the following criteria:131. Quality personnel2. Quality procedure3. Concern for quality4. Company history5. Price relative to quality6. Actual price7. Financial ability8. Technical performance9. Delivery history10. Technical assistance11. Production capability12. Manufacturing equipmentSome of these criteria overlap, and other criteria may exist for specific supply chain decision makers. But clearly there are many important aspects to selecting suppliers.Supplier Order AllocationOperational risks in supply chain order allocation include uncertainties in demands, supply yields, lead times, and costs. Thus not only do specific suppliers need to be selected, the quantities purchased from them needs to be determined on a recurring basis.Supply chains provide many valuable benefits to their members, but also create problems of coordination that manifest themselves in the “bullwhip” effect.14 Information system coordination can reduce some of the negative manifestations of the bullwhip effect, but there still remains the issue of profit sharing. Decisions that are optimal for one supply chain member often have negative impacts of the total profitability of the entire supply chain.15Demand ManagementDemand management approaches include using statistics in models for identification of an optimal portfolio of demand distributions16 and economic models to select strategies using price as a response mechanism to change demand.17 Other strategies include shifting demand over time, across markets, or across products. Demand management of course is one of the aims of advertising and other promotional activities. However,it has long been noted as one of the most difficult things to predict over time.Product ManagementAn effective strategy to manage product risk is variety, which can be used to increase market share to serve distinct segments of a market. The basic idea is to diversify products to meet the specific needs of each market segment. However, while this would be expected to increase revenues and market share, it will lead to increase manufacturing costs and inventory costs. Various ways to deal with the potential inefficiencies in product variety include Dell’s make-to-order strategy. Supply Chain DisruptionTang classified supply chain vulnerabilities as those due to uncertain economic cycles, customer demand, and disasters. Land Rover reduced their workforce by over one thousand when a key supplier went insolvent. Dole was affected by Hurricane Mitch hitting their banana plantations in Central America in 1998. September 11, 2001 suspended air traffic, leading Ford Motor Company to close five plants for several days.18 Many things can disrupt supply chains. Supply chain disruptions have been found to negatively impact stock returns for firms suffering them.19Supply Chain RisksRecent research into supply chain risk covers many topics.New Technology RiskGolda and Phillipi20 considered technical and business risk components of the supply chain. Technical risks relate to science and engineering, and deal with the uncertainties of research output. Business risks relate to markets, human responses to products and/or related services. At Intel, three risk mitigation strategies were considered to deal with the risks associated with new technologies:1. Partnerships, with associated decisions involving who to partner with, and at what stage of product development2. Pursue extendable solutions, evolutionary products that will continue to offer value as new technical breakthroughs are gained3. Evaluate multiple options to enable commercializationPartner Selection RiskPartner (to include vendor) evaluation is a very important operational decision. Important decisions include which vendors to employ and quantities to order from each vendor. With the increase in outsourcing and the opportunities provided by electronic business to tap world-wide markets, these decisions are becoming ever more complex. The presence of multiple criteria in these decisions has long been recognized.21Outsourcing RisksOther risks are related to partner selection, focusing specifically on the additional risks associated with international trade. Risks in outsourcing can include:22● Cost – unforeseen vendor selection, transition, or management●Lead time –delay in production start-up, manufacturing process, or transportation● Quality – minor or major finishing defects, component fitting, or structural Defects Outsourcing has become endemic in the United States, especially information technology to India and production to China.23 Risk factors include:● Ability to retain control● Potential for degradation of critical capability● Risk of dependency● Pooling risk (proprietarial information, clients competing among themselves) ● Risk of hidden costsEcological RisksIn our ever-more complex world, it no longer is sufficient for each organization to make decisions in light of their own vested self-interest. There is growing concern with the impact of human decisions on the state of the earth. This is especially true in mass production environments such as power generation,24 but also is important in all aspects of business. Cruz (2008) presented a dynamic framework for modeling and analysis of supply chain networks in light of corporate social responsibility.25 That study presented a framework multiple objective programming model with the criteria of maximizing profit, minimizing waste, and minimizing risk. Multiple Criteria Selection ModelA number of methodologies are applied in practice, to include simple screening and scoring methods,26 supplier positioning matrices to lay out risks by vendor, withassociated ratings,27 and a combination of sorts combining risk categorization with ratings of opportunity, probability, and severity.28 Traditional multiple criteria methods have also been applied, to include analytic hierarchy process.29 The simple multiattribute rating theory (SMART)30 model bases selection on the rank order of the product of criteria weights and alternative scores over these criteria, and will be used here. Note that we are demonstrating, and are not claiming that the orders and ratings used are universal. We are rather presenting a method that real decision makers could use with their own ratings (and even with other criteria that they might think important in a given application).OptionsThere are various levels of outsourcing that can be adopted. These range from simply outsourcing particular tasks (much like the idea of service oriented architecture), co-managing services with partners, hiring partners to manage services, and full outsourcing (in a contractual relationship). We will use these four outsourcing relationships plus the fifth option of doing everything in-house as our options. CriteriaWe will utilize the criteria given below:● Cost (including hidden)● Lead time● Quality● Ability to retain control● Potential loss of critical capability● Risk of dependency● Risk of loss of proprietarial information● Risk of client contentionThe SMART method begins by rank ordering criteria. Here assume the following rank order of importance: 1. Ability to retain control2. Risk proprietarial information loss3. Quality of product and service4. Potential loss of critical capability5. Risk of dependency6. Cost7. Lead time8. Risk of client contentionThe next step is to develop relative weights of importance for criteria. We will do this by assigning the most important criterion 100 points, and give proportional ratings for each of the others as given in Table 5.1:Weights are obtained by dividing each criterion’s assigned point value by the total of points (here 435). This yields weights shown in Table 5.2:Scoring of Alternatives over CriteriaThe next step of the SMART method is to score alternatives. This is an expression by the decision maker (or associated experts) of how well each alternative performs on each criterion. Scores range from 1.0 (ideal performance) to 0 (absolute worst performance imaginable). This approach makes the scores independent of scale, andindependent of weight. Demonstration is given in Table 5.3:Once weights and scores are obtained, value functions for each alternative are simply the sum products of weights times scores for each alternative. The closer to 1.0 (the maximum value function), the better. Table 5.4 shows value scores for the five alternatives:The outcome here is that in-house operations best satisfy the preference function of the decision maker. Obviously, different weights and scores will yielddifferent outcomes. But the method enables decision makers to apply a sound but simple analysis to aid their decision making.译文：供应链风险管理D.L. Olson 和D. Wu全球竞争，技术变化，以及不断寻找具有竞争优势的动机的供应链风险管理。