Joint Pricing and Inventory Decisions
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术语翻译与回答问题(主要出自每单元的学习重点与难点)underwriter 保险业者,承诺支付者,保险商Unit 1学习重点里的词汇中英互译:词汇和词组的中英一定都是牢记。
短语搭配如play a role, be based on 不会在词汇中英互译中出现,但会在句子翻译和选择题里体现Logistics物流, warehouse仓库(warehousing仓储), inventory库存(库存成本inventory cost),procurement获得, packaging包装, inbound往内地的,归航的, outbound开往外地或外国的, handling搬运(material handling材料搬运), coordination合作协作, strategic planning战略规划, customer service 客户服务, forecasting 预测,问答题1.What is modern logistics?Logistics is that part of the supply chain process that plans, implements and controls the efficient, effective flow and storage of goods, service and related information from the point of origin to the point of consumption to meet consumer s’ requirements.2.How many sectors of economic activities are involved in logistics? What are they? 2009.10 2007.10Eight sectors of economic activities are involved in logistics. They are packaging, warehousing, material handling, inventory, transport, forecasting, strategic planning and customer service.U2Strategy策略、战略, physical身体的、物质的, availability可得性、可用性、实用性, ultimate 最后的、最终的, outlet出口、出路, patronage赞助、光顾, accessibility可到达、易接近, furnishing设备、陈设品, brand品牌, offer提供、出价, pattern式样、模式. consumer products 消费类产品, convenience product 便利型产品,shopping products 购买型产品,specialty products 特殊产品,学习产品分类。
做合同,还有清单的英语词汇Contract Formation and Inventory Management in Business Operations.In the realm of business operations, the creation of contracts and inventory lists is an integral part of ensuring smooth and efficient transactions. These documents play a pivotal role in outlining the terms and conditions of agreements, managing resources, and maintaining transparency in business dealings.Contract Formation.Contract formation is the process of negotiating and agreeing upon the terms of a contract between two or more parties. It involves several stages, including offer, acceptance, consideration, and intention to create legal relations. Each stage is crucial in ensuring that the contract is legally binding and enforceable.The first stage, the offer, is when one party proposes a deal or transaction to another party. This offer must be clear, unambiguous, and contain all the essential terms of the contract. Once the offer is made, the second party has the option to accept or reject it.Acceptance occurs when the second party agrees to the terms proposed in the offer, without any modifications. If the second party wishes to modify the terms, it must make a counter-offer, which essentially becomes a new offer. This process continues until both parties reach a mutual agreement.Consideration refers to the exchange of value between the parties. It ensures that each party receives something in return for their obligations under the contract. Consideration must be legal and sufficient to make the contract enforceable.Lastly, the intention to create legal relations is essential. Both parties must have the intention to be bound by the contract and its terms. This intention must beevident from the language and context of the contract.Once the contract is formed, it serves as a legal document that outlines the rights and obligations of the parties involved. It ensures that both parties adhere to the agreed-upon terms and conditions and serves as a recourse in case of disputes or breaches of contract.Inventory Management.Inventory management refers to the processes involved in tracking, storing, and managing a business's inventory. It ensures that the right products are available in the right quantities at the right time, meeting the demands of customers while minimizing costs and waste.Effective inventory management begins with accurate inventory counts. This involves regularly updating and verifying the quantity and status of products in stock. This information is crucial for making informed decisions about restocking, pricing, and fulfillment.Inventory tracking systems play a vital role in managing inventory. These systems allow businesses to monitor the movement of products throughout the supply chain, from procurement to sales. By tracking inventory in real-time, businesses can identify trends, predict demand, and plan accordingly.Proper storage facilities are also essential for effective inventory management. This ensures that products are protected from damage, theft, and spoilage. It also helps in maintaining the quality and integrity of products, ensuring that they are ready for sale when needed.Inventory management also involves the use of advanced techniques and tools, such as just-in-time inventory systems, lean inventory management, and inventory optimization software. These tools help businesses reduce costs, improve efficiency, and maintain a competitive edge in the market.In conclusion, contract formation and inventory management are integral components of business operations.Contracts outline the terms and conditions of agreements, ensuring legal binding and enforcement. On the other hand, inventory management ensures that businesses have the right products in the right quantities, meeting customer demands while minimizing costs and waste. By mastering these aspects of business operations, companies can achieve success and profitability.。
- disruption ,: Global convergence vs nationalSustainable-,practices and dynamic capabilities in the food industry: A critical analysis of the literature5 Mesoscopic- simulation6 Firm size and sustainable performance in food -s: Insights from Greek SMEs7 An analytical method for cost analysis in multi-stage -s: A stochastic / model approach8 A Roadmap to Green - System through Enterprise Resource Planning (ERP) Implementation9 Unidirectional transshipment policies in a dual-channel -10 Decentralized and centralized model predictive control to reduce the bullwhip effect in -,11 An agent-based distributed computational experiment framework for virtual -/ development12 Biomass-to-bioenergy and biofuel - optimization: Overview, key issues and challenges13 The benefits of - visibility: A value assessment model14 An Institutional Theory perspective on sustainable practices across the dairy -15 Two-stage stochastic programming - model for biodiesel production via wastewater treatment16 Technology scale and -s in a secure, affordable and low carbon energy transition17 Multi-period design and planning of closed-loop -s with uncertain supply and demand18 Quality control in food -,: An analytical model and case study of the adulterated milk incident in China19 - information capabilities and performance outcomes: An empirical study of Korean steel suppliers20 A game-based approach towards facilitating decision making for perishable products: An example of blood -21 - design under quality disruptions and tainted materials delivery22 A two-level replenishment frequency model for TOC - replenishment systems under capacity constraint23 - dynamics and the ―cross-border effect‖: The U.S.–Mexican border’s case24 Designing a new - for competition against an existing -25 Universal supplier selection via multi-dimensional auction mechanisms for two-way competition in oligopoly market of -26 Using TODIM to evaluate green - practices under uncertainty27 - downsizing under bankruptcy: A robust optimization approach28 Coordination mechanism for a deteriorating item in a two-level - system29 An accelerated Benders decomposition algorithm for sustainable -/ design under uncertainty: A case study of medical needle and syringe -30 Bullwhip Effect Study in a Constrained -31 Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable -/ of perishable food32 Research on pricing and coordination strategy of green - under hybrid production mode33 Agent-system co-development in - research: Propositions and demonstrative findings34 Tactical ,for coordinated -s35 Photovoltaic - coordination with strategic consumers in China36 Coordinating supplier׳s reorder point: A coordination mechanism for -s with long supplier lead time37 Assessment and optimization of forest biomass -s from economic, social and environmental perspectives – A review of literature38 The effects of a trust mechanism on a dynamic -/39 Economic and environmental assessment of reusable plastic containers: A food catering - case study40 Competitive pricing and ordering decisions in a multiple-channel -41 Pricing in a - for auction bidding under information asymmetry42 Dynamic analysis of feasibility in ethanol - for biofuel production in Mexico43 The impact of partial information sharing in a two-echelon -44 Choice of - governance: Self-managing or outsourcing?45 Joint production and delivery lot sizing for a make-to-order producer–buyer - with transportation cost46 Hybrid algorithm for a vendor managed inventory system in a two-echelon -47 Traceability in a food -: Safety and quality perspectives48 Transferring and sharing exchange-rate risk in a risk-averse - of a multinational firm49 Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel -50 Product quality and return policy in a - under risk aversion of a supplier51 Mining logistics data to assure the quality in a sustainable food -: A case in the red wine industry52 Biomass - optimisation for Organosolv-based biorefineries53 Exact solutions to the - equations for arbitrary, time-dependent demands54 Designing a sustainable closed-loop -/ based on triple bottom line approach: A comparison of metaheuristics hybridization techniques55 A study of the LCA based biofuel - multi-objective optimization model with multi-conversion paths in China56 A hybrid two-stock inventory control model for a reverse -57 Dynamics of judicial service -s58 Optimizing an integrated vendor-managed inventory system for a single-vendor two-buyer - with determining weighting factor for vendor׳s ordering59 Measuring - Resilience Using a Deterministic Modeling Approach60 A LCA Based Biofuel - Analysis Framework61 A neo-institutional perspective of -s and energy security: Bioenergy in the UK62 Modified penalty function method for optimal social welfare of electric power - with transmission constraints63 Optimization of blood - with shortened shelf lives and ABO compatibility64 Diversified firms on dynamical - cope with financial crisis better65 Securitization of energy -s in China66 Optimal design of the auto parts - for JIT operations: Sequential bifurcation factor screening and multi-response surface methodology67 Achieving sustainable -s through energy justice68 - agility: Securing performance for Chinese manufacturers69 Energy price risk and the sustainability of demand side -s70 Strategic and tactical mathematical programming models within the crude oil - context - A review71 An analysis of the structural complexity of -/s72 Business process re-design methodology to support - integration73 Could - technology improve food operators’ innovativeness? A developing country’s perspective74 RFID-enabled process reengineering of closed-loop -s in the healthcare industry of Singapore75 Order-Up-To policies in Information Exchange -s76 Robust design and operations of hydrocarbon biofuel - integrating with existing petroleum refineries considering unit cost objective77 Trade-offs in - transparency: the case of Nudie Jeans78 Healthcare - operations: Why are doctors reluctant to consolidate?79 Impact on the optimal design of bioethanol -s by a new European Commission proposal80 Managerial research on the pharmaceutical - – A critical review and some insights for future directions81 - performance evaluation with data envelopment analysis and balanced scorecard approach82 Integrated - design for commodity chemicals production via woody biomass fast pyrolysis and upgrading83 Governance of sustainable -s in the fast fashion industry84 Temperature ,for the quality assurance of a perishable food -85 Modeling of biomass-to-energy - operations: Applications, challenges and research directions86 Assessing Risk Factors in Collaborative - with the Analytic Hierarchy Process (AHP)87 Random / models and sensitivity algorithms for the analysis of ordering time and inventory state in multi-stage -s88 Information sharing and collaborative behaviors in enabling - performance: A social exchange perspective89 The coordinating contracts for a fuzzy - with effort and price dependent demand90 Criticality analysis and the -: Leveraging representational assurance91 Economic model predictive control for inventory ,in -s92 -,ontology from an ontology engineering perspective93 Surplus division and investment incentives in -s: A biform-game analysis94 Biofuels for road transport: Analysing evolving -s in Sweden from an energy security perspective95 -,executives in corporate upper echelons Original Research Article96 Sustainable -,in the fast fashion industry: An analysis of corporate reports97 An improved method for managing catastrophic - disruptions98 The equilibrium of closed-loop - super/ with time-dependent parameters99 A bi-objective stochastic programming model for a centralized green - with deteriorating products100 Simultaneous control of vehicle routing and inventory for dynamic inbound -101 Environmental impacts of roundwood - options in Michigan: life-cycle assessment of harvest and transport stages102 A recovery mechanism for a two echelon - system under supply disruption103 Challenges and Competitiveness Indicators for the Sustainable Development of the - in Food Industry104 Is doing more doing better? The relationship between responsible -,and corporate reputation105 Connecting product design, process and - decisions to strengthen global - capabilities106 A computational study for common / design in multi-commodity -s107 Optimal production and procurement decisions in a - with an option contract and partial backordering under uncertainties108 Methods to optimise the design and ,of biomass-for-bioenergy -s: A review109 Reverse - coordination by revenue sharing contract: A case for the personal computers industry110 SCOlog: A logic-based approach to analysing - operation dynamics111 Removing the blinders: A literature review on the potential of nanoscale technologies for the ,of -s112 Transition inertia due to competition in -s with remanufacturing and recycling: A systems dynamics mode113 Optimal design of advanced drop-in hydrocarbon biofuel - integrating with existing petroleum refineries under uncertainty114 Revenue-sharing contracts across an extended -115 An integrated revenue sharing and quantity discounts contract for coordinating a - dealing with short life-cycle products116 Total JIT (T-JIT) and its impact on - competency and organizational performance117 Logistical - design for bioeconomy applications118 A note on ―Quality investment and inspection policy in a supplier-manufacturer -‖119 Developing a Resilient -120 Cyber - risk ,: Revolutionizing the strategic control of critical IT systems121 Defining value chain architectures: Linking strategic value creation to operational - design122 Aligning the sustainable - to green marketing needs: A case study123 Decision support and intelligent systems in the textile and apparel -: An academic review of research articles124 -,capability of small and medium sized family businesses in India: A multiple case study approach125 - collaboration: Impact of success in long-term partnerships126 Collaboration capacity for sustainable -,: small and medium-sized enterprises in Mexico127 Advanced traceability system in aquaculture -128 - information systems strategy: Impacts on - performance and firm performance129 Performance of - collaboration – A simulation study130 Coordinating a three-level - with delay in payments and a discounted interest rate131 An integrated framework for agent basedinventory–production–transportation modeling and distributed simulation of -s132 Optimal - design and ,over a multi-period horizon under demand uncertainty. Part I: MINLP and MILP models133 The impact of knowledge transfer and complexity on - flexibility: A knowledge-based view134 An innovative - performance measurement system incorporating Research and Development (R&D) and marketing policy135 Robust decision making for hybrid process - systems via model predictive control136 Combined pricing and - operations under price-dependent stochastic demand137 Balancing - competitiveness and robustness through ―virtual dual sourcing‖: Lessons from the Great East Japan Earthquake138 Solving a tri-objective - problem with modified NSGA-II algorithm 139 Sustaining long-term - partnerships using price-only contracts 140 On the impact of advertising initiatives in -s141 A typology of the situations of cooperation in -s142 A structured analysis of operations and -,research in healthcare (1982–2011143 - practice and information quality: A - strategy study144 Manufacturer's pricing strategy in a two-level - with competing retailers and advertising cost dependent demand145 Closed-loop -/ design under a fuzzy environment146 Timing and eco(nomic) efficiency of climate-friendly investments in -s147 Post-seismic - risk ,: A system dynamics disruption analysis approach for inventory and logistics planning148 The relationship between legitimacy, reputation, sustainability and branding for companies and their -s149 Linking - configuration to - perfrmance: A discrete event simulation model150 An integrated multi-objective model for allocating the limited sources in a multiple multi-stage lean -151 Price and leadtime competition, and coordination for make-to-order -s152 A model of resilient -/ design: A two-stage programming with fuzzy shortest path153 Lead time variation control using reliable shipment equipment: An incentive scheme for - coordination154 Interpreting - dynamics: A quasi-chaos perspective155 A production-inventory model for a two-echelon - when demand is dependent on sales teams׳ initiatives156 Coordinating a dual-channel - with risk-averse under a two-way revenue sharing contract157 Energy supply planning and - optimization under uncertainty158 A hierarchical model of the impact of RFID practices on retail - performance159 An optimal solution to a three echelon -/ with multi-product and multi-period160 A multi-echelon - model for municipal solid waste ,system 161 A multi-objective approach to - visibility and risk162 An integrated - model with errors in quality inspection and learning in production163 A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge ,adoption in - to overcome its barriers164 A relational study of - agility, competitiveness and business performance in the oil and gas industry165 Cyber - security practices DNA – Filling in the puzzle using a diverse set of disciplines166 A three layer - model with multiple suppliers, manufacturers and retailers for multiple items167 Innovations in low input and organic dairy -s—What is acceptable in Europe168 Risk Variables in Wind Power -169 An analysis of - strategies in the regenerative medicine industry—Implications for future development170 A note on - coordination for joint determination of order quantity and reorder point using a credit option171 Implementation of a responsive - strategy in global complexity: The case of manufacturing firms172 - scheduling at the manufacturer to minimize inventory holding and delivery costs173 GBOM-oriented ,of production disruption risk and optimization of - construction175 Alliance or no alliance—Bargaining power in competing reverse -s174 Climate change risks and adaptation options across Australian seafood -s – A preliminary assessment176 Designing contracts for a closed-loop - under information asymmetry 177 Chemical - modeling for analysis of homeland security178 Chain liability in multitier -s? Responsibility attributions for unsustainable supplier behavior179 Quantifying the efficiency of price-only contracts in push -s over demand distributions of known supports180 Closed-loop -/ design: A financial approach181 An integrated -/ design problem for bidirectional flows182 Integrating multimodal transport into cellulosic biofuel- design under feedstock seasonality with a case study based on California183 - dynamic configuration as a result of new product development184 A genetic algorithm for optimizing defective goods - costs using JIT logistics and each-cycle lengths185 A -/ design model for biomass co-firing in coal-fired power plants 186 Finance sourcing in a -187 Data quality for data science, predictive analytics, and big data in -,: An introduction to the problem and suggestions for research and applications188 Consumer returns in a decentralized -189 Cost-based pricing model with value-added tax and corporate income tax for a -/190 A hard nut to crack! Implementing - sustainability in an emerging economy191 Optimal location of spelling yards for the northern Australian beef -192 Coordination of a socially responsible - using revenue sharing contract193 Multi-criteria decision making based on trust and reputation in -194 Hydrogen - architecture for bottom-up energy systems models. Part 1: Developing pathways195 Financialization across the Pacific: Manufacturing cost ratios, -s and power196 Integrating deterioration and lifetime constraints in production and - planning: A survey197 Joint economic lot sizing problem for a three—Layer - with stochastic demand198 Mean-risk analysis of radio frequency identification technology in - with inventory misplacement: Risk-sharing and coordination199 Dynamic impact on global -s performance of disruptions propagation produced by terrorist acts。
物品管理的五定原则英文回答:The Five Principles of Item Management are essential guidelines for effective inventory control and organization. These principles help businesses maintain accurate records, optimize storage space, minimize costs, and ensure timely availability of items. Let's explore each principle in detail:1. Identification: The first principle is to clearly identify each item in the inventory. This can be achievedby assigning unique codes or labels to each item. The identification should be specific enough to distinguish similar items and prevent confusion. Proper identification facilitates easy tracking, reduces errors, and enables efficient stock management.2. Classification: The second principle is to classify items based on their characteristics, usage, or value. Thishelps in grouping similar items together, making it easier to locate and retrieve them when needed. Classification can be done based on various criteria such as size, weight, type, or shelf life. It enables businesses to prioritize items, allocate storage space effectively, and optimize inventory management.3. Standardization: The third principle is to establish standard procedures and protocols for item management. This includes standardized naming conventions, labeling formats, storage methods, and documentation processes. Standardization ensures consistency and uniformity in handling items, reduces confusion, and streamlines operations. It also facilitates training and enables smooth transition during employee turnover.4. Valuation: The fourth principle is to assign a value to each item in the inventory. This helps in determining the financial worth of the inventory and tracking its value over time. Valuation methods can vary based on the nature of the items, such as First-In-First-Out (FIFO) or Last-In-First-Out (LIFO) for perishable goods. Accurate valuationenables businesses to make informed decisions regarding pricing, reordering, and financial reporting.5. Control: The final principle is to establish control measures to safeguard items and prevent loss, theft, or damage. This includes implementing security measures, such as access control, surveillance systems, and inventory audits. Control measures also involve regular stock checks, reconciliation with records, and addressing discrepancies promptly. Effective control ensures the integrity of the inventory and helps in maintaining accurate records.In summary, the Five Principles of Item Management Identification, Classification, Standardization, Valuation, and Control provide a comprehensive framework for efficient and organized inventory management. By following these principles, businesses can enhance productivity, reduce costs, and improve customer satisfaction.中文回答:物品管理的五定原则是有效控制和组织库存的基本准则。
电子商务模式下易腐农产品的定价与库存联合决策作者:张名扬郭健涛于欣格来源:《预测》2021年第04期摘要:随着互联网的高速发展,电子商务平台已经成为越来越多产品的主要销售渠道。
新冠肺炎疫情发生以来,人们减少外出,生鲜电商平台订单量激增。
生鲜产品由于易腐的特性,其在销售和库存管理等方式上区别于普通产品,因此研究电商平台下易腐农产品的定价与库存联合决策十分必要。
本文通过探讨电子商务平台与线下销售的不同,抽象出电子商务平台的特点,考虑网络扩散效应以及在线评论对消费者购买意愿的影响,又结合了农产品易腐的特性,构建了两阶段的需求函数。
通过单一定价与动态定价两种策略,分别探讨了定价不受腐败程度影响以及随腐败程度变化的两种模式下零售商的最优决策。
数值模拟对比了两种定价方式的优劣,为管理者提供决策建议。
关键词:易腐农产品;电子商务平台;定价与库存管理中图分类号:F713.365文献标识码:A文章编号:1003 5192(2021)04-0032-06doi:10.11847/fj.40.4.32Abstract:With the rapid development of the Internet, e commerce platforms have become the main sales channel for more and more products. Since the outbreak of COVID 19, people have reduced going out, and the volume of fresh food e commerce platform has surged. The perishable nature of fresh products makes it different from ordinary products in terms of sales and inventory management. Therefore, it is necessary to study the pricing and inventory decisions of agricultural perishable products on e commerce platforms. By discussing the differences between e commerce platforms and offline sales to abstract characteristics of e commerce platform, a two stage demand function is constructed taking into account the perishable characteristics of agricultural products, the network diffusion effect of e commerce platforms and the influence of online reviews on consumers’ willingness to purchase. The optimal decisions of retailers under two pricing strategies, fixed pricing and dynamic pricing, are explored separately. Numerical simulation methods are used to compare the advantages and disadvantages of the two pricing strategies, so as to provide managers with recommendations for decision making.Key words:agricultural perishable products; e commerce platform; pricing and inventory management1 引言随着互联网的高速发展,电子商务平台已经成为越来越多产品的主要销售渠道。
英语作文-便利店零售行业,门槛之争加剧行业竞争The convenience store retail industry is a dynamic sector characterized by intense competition and evolving entry barriers. As convenience stores (or c-stores) have become ubiquitous in many urban and suburban areas worldwide, the landscape of this industry has undergone significant transformations. This article explores the key factors contributing to the competitive environment and the shifting thresholds for entering this market.### Market Dynamics and Competition。
Convenience stores occupy a unique niche in the retail sector by offering a combination of accessibility, extended operating hours, and a diverse range of products. These establishments cater primarily to customers seeking quick purchases, often at higher prices per item but with the convenience of immediate availability. The competitive landscape in this industry is shaped by several key elements:#### 1. Location Strategies。
《成本会计:以管理为重心》中英文对照词汇表非正常毁损Abnormal spoilage生产成本法Absorption costing账户分析法Account analysis method会计回报率Accounting rate of return权责发生制下会计回报率Accrual accounting rate of return作业Activity作业基础的预算管理Activity-based budgeting作业成本法Activity-based costing作业管理Activity-based management实际成本Actual cost实际成本法Actual costing调整分配率途径Adjusted allocation-rate approach允许的成本Allowable cost鉴定成本Appraisal costs拟构成本Artificial costs注意力导向Attention directing自治Autonomy平均成本Average cost平均等候时间Average waiting time反冲成本法Backflush costing平衡记分卡Balanced scorecard批次级成本Batch-level costs观念系统Belief systems标杆管理Benchmarking账面价值Book value瓶颈Bottleneck边界系统Boundary systems盈亏平衡点Breakeven point预算Budget预算成本Budgeted cost预算松弛Budgetary slack预算间接成本分配率Budgeted indirect-cost rate捆绑产品Bundled product业务功能成本Business function costs副产品Byproducts资本预算Capital budgeting储囤成本Carrying costs现金预算Cash budget因果图Cause-and-effect diagram财务管理认证Certified in financial management注册管理会计师Certified management accountant财务总监Chief financial officer决定系数Coefficient of determination共谋定价Collusive pricing共同成本Common cost完整往复成本Complete reciprocated costs合成单位Composite unit商讨会法Conference method遵循质量Conformance quality常数Constant固定毛利率NRV法Constant gross-margin percentage NRV method 约束条件Constraint滚动预算Continuous budget, rolling budget贡献收益表Contribution income statement边际贡献Contribution margin单位边际贡献Contribution margin per unit边际贡献率Contribution margin percentage边际贡献比例Contribution margin ratio控制Control控制图Control chart可控性Controllability可控成本Controllable cost主计长Controller加工成本Conversion costs成本Cost成本会计Cost accounting成本会计标准委员会Cost accounting standards board成本汇集Cost accumulation成本分配Cost allocation成本分配基础Cost-allocation base成本分配基础Cost-application base成本归集Cost assignment成本-收益权衡Cost-benefit approach成本中心Cost center成本动因Cost driver成本估计Cost estimation成本函数Cost function成本层级Cost hierarchy成本流入Cost incurrence成本领先Cost leadership成本管理Cost management成本对象Cost object资本成本Cost of capital产品制造成本Cost of goods manufactured成本库Cost pool成本预测Cost predictions成本追溯Cost tracing质量成本Costs of quality, quality costs本量利分析Cost-volume-profit (CVP) analysis累计平均时间学习模型Cumulative average-time learning model当前成本Current cost客户成本层级Customer cost hierarchy客户生命周期成本Customer life-cycle costs客户盈利分析Customer-profitability analysis客户回应时间Customer-response time客户服务Customer service分权Decentralization决策模型Decision model决策表Decision table经营杠杆水平Degree of operating leverage分母水平Denominator level生产数量差异Denominator-level variance, Output-level overhead variance, Production-volume variance因变量Dependent variable产品或服务设计Design of products, services, or processes设计质量Design quality设计锁定成本Designed-in costs, locked-in costs诊断控制系统Diagnostic control systems差异成本Differential cost差异收入Differential revenue直接分配法Direct allocation method直接成本法Direct costing成本对象的直接成本Direct costs of a cost object直接生产人工成本Direct manufacturing labor costs直接材料成本Direct material costs直接材料存货Direct material inventory直接材料混合差异Direct material mix variance直接材料产量差异Direct material yield variance直接法Direct method折现率Discount rate现金流量折现法Discounted cash flow (DCF) methods酌量性成本Discretionary costs发送Distribution减少规模Downsizing向下需求旋转Downward demand spiral双重定价Dual pricing双成本分配率法Dual-rate cost-allocation method, dual-rate method倾销Dumping次优化决策制定Dysfunctional decision making, Incongruent decision making, suboptimal decision making经济订单数量Economic order quantity (EOQ)经济增加值Economic value added有效性Effectiveness效率Efficiency效率差异Efficiency variance, usage variance努力Effort技术成本Engineered costs约当产量Equivalent units事项Event预期货币价值Expected monetary value, expected value经验曲线Experience curve外部失败成本External failure cost设施支持成本Facility-sustaining costs工厂间接费用Factory overhead costs有利差异Favorable variance反馈Feedback财务主管Finance director财务会计Financial accounting财务预算Financial budget财务计划模型Financial planning models产成品存货Finished goods inventory先进先出分步法First-in, first-out (FIFO) process-costing method固定成本Fixed cost固定间接费用弹性预算差异Fixed overhead flexible-budget variance 固定间接费用耗费差异Fixed overhead spending variance弹性预算Flexible budget弹性预算差异Flexible-budget variance产品全部成本Full costs of the product目标一致性Goal congruence毛利率Gross margin percentage增长构成Growth component高低法High-low method同质的成本库Homogenous cost pool基本报酬率Hurdle rate混合成本核算系统Hybrid costing system空置时间Idle time假设成本Imputed costs增量成本Incremental cost增量成本分配法Incremental cost-allocation method增量收入Incremental revenue增量收入分配法Incremental revenue-allocation method增量单位时间学习模型Incremental unit-time learning model自变量Independent variable成本对象的间接成本Indirect costs of a cost object间接成本分配率Indirect-cost rate间接制造成本Indirect manufacturing costs工业工程法Industrial engineering method, Work-measurement method通货膨胀Inflation价格差异Input-price variance, price variance, rate variance内制Insourcing检验点Inspection point管理会计师协会Institute of Management Accountants交互式控制系统Interactive control systems截距项Intercept中间产品Intermediate product内部失败成本Internal failure costs内含报酬率法Internal rate-of-return (IRR) method产品存货成本Inventoriable costs存货管理Inventory management投资Investment投资中心Investment center批次Job分批成本记录Job-cost record, job-cost sheet分批法Job-costing system联合成本Joint costs联产品Joint products即时制生产Just-in-time (JIT) production, lean production即时制采购Just-in-time (JIT) purchasing改进法预算Kaizen budgeting人工时间记录Labor-time record学习曲线Learning curve生命周期预算Life-cycle budgeting生命周期成本法Life-cycle costing业务管理Line management线形成本函数Linear cost function线性规划Linear programming主产品Main product自产/外购决策Make-or-buy decisions管理会计Management accounting例外管理Management by exception管理控制系统Management control system制造单元Manufacturing cells生产周期时间Manufacturing cycle time, Manufacturing lead time分配的制造费用Manufacturing overhead allocated, Manufacturing overhead applied 制造类企业Manufacturing-sector companies安全边际Margin of safety市场营销Marketing市场分额差异Market-share variance市场规模差异Market-size variance全面预算Master budget全面预算生产能力利用Master-budget capacity utilization材料需求规划Materials requirements planning用料单Materials-requisition record商业类企业Merchandising-sector companies混合成本Mixed cost, semivariable cost道德风险Moral hazard动机Motivation多重共线性Multicollinearity多变量回归Multiple regression净利润Net income净现值法Net present value (NPV) method净可实现值法Net realizable value (NPV) method名义回报率Nominal rate of return非线性成本函数Nonlinear cost function非价值增加成本Nonvalue-added cost正常生产能力利用Normal capacity utilization正常成本法Normal costing正常毁损Normal spoilage目标函数Objective function准时表现On-time performance一次性特殊订单One-time-only special order经营预算Operating budget营业部门Operating department营业利润Operating income经营杠杆Operating leverage经营Operation经营成本核算系统Operation-costing system机会成本Opportunity cost资本机会成本Opportunity cost of capital采购订单成本Ordering costs组织架构Organization structure结果Outcomes产出单位成本Output unit-level costs外部采购Outsourcing分配过多的间接成本Overabsorbed indirect costs, Overapplied indirect costs, overallocated indirect costs加班奖金Overtime premium帕累托图Pareto Diagram局部生产力Partial productivity回收期法Payback method最大负荷定价Peak-load pricing完全竞争市场Perfectly competitive market期间成本Period costs实物计量法Physical measure method计划Planning现实的生产能力Practical capacity掠夺性定价Predatory pricing预防成本Prevention costs转入成本Previous department costs, transferred-in costs价格折扣Price discount区别定价Price discrimination价格恢复构成Price-recovery component主要成本Prime costs预测报表Pro forma statements概率Probability概率分布Probability distribution问题解决Problem solving分步成本核算系统Process-costing system产品Product产品成本Product cost产品成本互补Product-cost cross-subsidization产品差异化Product differentiation产品生命周期Product life cycle产品组合决策Product mix decisions成本高计的产品Product overcosting产品支持成本Product-sustaining costs成本少计的产品Product undercosting生产Production生产部门Production department生产量水平Production-denominator level生产力Productivity生产力构成Productivity component利润中心Profit center按比例分配Proration采购订单提前量Purchasing-order lead time采购成本Purchasing costsPV图PV graph定性因素Qualitative factors质量Quality定量因素Quantitative factors真实回报率Real rate of return交互分配法Reciprocal allocation method, reciprocal method 业务流程再造Reengineering精练化成本系统Refined costing system回归分析Regression analysis相关成本Relevant costs相关范围Relevant range相关收入Relevant revenues再订购点Reorder point要求的回报率Required rate of return研发Research and development剩余收益Residual income剩余项Residual term责任会计Responsibility accounting责任中心Responsibility center投资报酬率Return on investment收入分配Revenue allocation收入中心Revenue center收入动因Revenue driver收入对象Revenue object收入Revenues返工Rework合适规模Rightsizing安全库存Safety stock销售组合Sales mix销售组合差异Sales mix variance销售数量差异Sales-quantity variance分离点销售价值法Sales value at splitoff method销售数额差异Sales-volume variance业务记录Scorekeeping废料Scrap销售价格差异Selling-price variance敏感性分析Sensitivity analysis可分离成本Separable costs阶梯法Sequential allocation method, step-down allocation method, step-down method 顺序追溯Sequential tracing服务部门Service department, supporting department服务类企业Service-sector companies服务支持成本Service-sustaining costs单变量回归Simple regression单一成本分配率法single-rate cost-allocation method, single-rate method斜率系数Slope coefficient原始凭证Source document设定分析Specification analysis分离点Splitoff point毁损Spoilage人事管理Staff management单一个体成本分配法Stand-alone cost-allocation method单一个体收入分配法Stand-alone revenue-allocation method标准Standard标准成本Standard cost标准成本法Standard costing估计系数标准差Standard error of the estimation coefficient标准投入Standard input标准价格Standard price静态预算Static budget静态预算差异Static budget variance阶梯式成本函数Step cost function脱销成本Stockout costs战略成本管理Strategic cost management战略Strategy沉没成本Sunk costs超级变动成本法Super-variable costing, throughput costing供应链Supply chain单位目标成本Target cost per unit单位目标营业利润Target operating income per unit目标价格Target price目标投资回报率Target rate of return on investment理论生产能力Theoretical capacity约束理论Theory of constraints物料贡献Throughput contribution时间动因Time driver货币时间价值Time value of money全要素生产力Total factor productivity (TFP)全部间接费用差异Total-overhead variance转移价格Transfer price触发点Trigger point不确定性Uncertainty分配不足的间接成本underabsorbed indirect costs, underapplied indirect costs, underallocated indirect costs不利差异Unfavorable variance单位成本Unit cost未用生产能力Unused capacity价值增加成本Value-added cost价值链Value chain价值工程Value engineering变动成本Variable cost变动成本法Variable costing变动间接费用效率差异Variable overhead efficiency variance变动间接费用弹性预算差异Variable overhead flexible-budget variance变动间接费用耗费差异Variable overhead spending variance差异Variance加权平均的分步法Weighted-average process-costing method在产品存货Work-in-process inventory 在产品Work-in-process。
酒店市场营销国外研究综述文献1. "Hotel Marketing: A Review of the Literature" by M. Kozak and N. Rimmington (2000)This article provides a comprehensive review of the literature on hotel marketing, covering topics such as segmentation, targeting, positioning, branding, pricing, distribution, and promotion. The authors highlight the importance of understanding customer needs and preferences, as well as the competitive environment, in developing effective marketing strategies. They also discuss the role of technology and the internet in hotel marketing, and the challenges and opportunities they present.2. "The Impact of Social Media on Hotel Marketing" by A. Sigala (2012)This paper examines the impact of social media on hotel marketing, focusing on the use of platforms such as Facebook, Twitter, and TripAdvisor. The author argues that social media can enhance customer engagement, loyalty, and advocacy, as well as provide valuable feedback and insights for hotels. However,she also notes the risks and challenges associated with social media, such as negative reviews and privacy concerns.3. "Green Marketing in the Hotel Industry: A Review of the Literature" by M. Kozak and N. Rimmington (2010)This article reviews the literature on green marketing in the hotel industry, discussing the motivations, benefits, and challenges of adopting environmentally sustainable practices. The authors argue that green marketing can enhance a hotel's reputation, attract environmentally conscious customers, and reduce costs and environmental impact. However, they also note the need for clear communication, education, and certification to ensure credibility and avoid greenwashing.4. "Luxury Hotel Marketing: A Review of the Literature" by J. Kim and J. Kim (2017)This paper provides a review of the literature on luxury hotel marketing, focusing on the unique characteristics and challenges of this segment. The authors discuss the importance of creating a distinctive brand image, providing personalizedservices, and leveraging digital technologies to enhance customer experience and engagement. They also highlight the role of partnerships, events, and social responsibility in luxury hotel marketing.5. "Revenue Management in the Hotel Industry: A Review of the Literature" by A. Kimes (2013)This article reviews the literature on revenue management in the hotel industry, discussing the principles, techniques, and challenges of optimizing pricing and inventory decisions. The author argues that revenue management can enhance profitability, customer satisfaction, and market share, but also requires a sophisticated understanding of demand patterns, competition, and customer behavior. She also discusses the role of technology and data analytics in revenue management.。
商人的工作英语作文初中英文:As a merchant, my job is to buy and sell goods in order to make a profit. This involves a lot of negotiation, salesmanship, and strategic planning. I have to keep a close eye on market trends and constantly be on the lookout for new opportunities to expand my business.One of the most important aspects of being a successful merchant is the ability to build relationships with both suppliers and customers. For example, I often have to negotiate with suppliers to get the best prices for the goods I want to sell. This requires good communicationskills and the ability to find common ground in order to reach a mutually beneficial agreement.Another example is when I have to deal with customers.I have to be able to understand their needs and preferences in order to provide them with the right products. Buildingtrust and rapport with customers is crucial for repeat business and positive word-of-mouth referrals.In addition to the interpersonal skills required for the job, I also have to be savvy when it comes to financial management. I need to carefully track my expenses, manage inventory, and make strategic decisions about pricing and promotions in order to maximize profits.Overall, being a merchant is a challenging yet rewarding job. It requires a combination of people skills, business acumen, and a strong work ethic in order to succeed in this competitive industry.中文:作为一个商人,我的工作是买卖商品以赚取利润。
Joint Pricing and Inventory/Production Decisions in a Two-Stage Dual-Channel Supply Chain SystemRun H.NiuEmail:runniu68@Tel:(314)2467794School of Business and TechnologyWebster UniversitySt.Louis,MO,USA,63119Xuan ZhaoEmail:xzhao@wlu.caTel:1-519.884.0710ext.2814Ignacio CastilloEmail:icastillo@wlu.caTel:519.884.0710ext.6054School of Business&EconomicsWilfrid Laurier UniversityWaterloo,Ontario,Canada,N2L3C5Tarja JoroEmail:tarja.joro@ualberta.caDepartment of Finance and Management ScienceUniversity of Alberta School of BusinessEdmonton,Alberta,Canada,T6G2R6Jan20101Joint Pricing and Inventory/Production Decisions in a Two-Stage Dual-Channel Retailer Supply ChainAbstractThe Internet is becoming increasingly important as a sales channel.Thus,most large retailfirms have adopted a multi-channel strategy that includes both web-based channelsand pre-existing off-line channels.Since competition exists between these two channels,fora supply chain with a dual-channel retailer,pricing in one channel will affect the demand inthe other channel.This subsequently affects the retailer’s replenishment(ordering)decisions,which have an impact on the producer’s inventory/production plans and wholesale pricedecisions.It is clear then that pricing decisions and inventory/production decisions areinteracting in each member of the supply chain and among the members in the chain as well.Thus,competition should play an important role when considering pricing strategies andinventory/production decision in a supply chain with dual-channel retailers.However,it isusually ignored.In this paper,we consider joint pricing and inventory/production decisionproblems for members in a monopoly two-stage dual-channel retailer supply chain.Weanalyze the problems by incorporating intra-product line price interaction(competition)inthe EOQ model.We show that a unique equilibrium exists under certain realistic conditions.We also provide numerical results that offer insights for pricing strategies for the dual-channelretailer supply chain and for product design for different channels.Our mainfindings are summarized as follows.Price pooling effect is found between online store and off-line store as the degree of substitution increases.The same observation holds forthe wholesale prices.This provides managerial implications on pricing for different productcategory in online store and off-line store.The EOQ of the off-line store decreases with thedegree of substitution;the EOQ of online store,on the other hand,increases with the degreesubstitution.This provide some guidance on inventory replenishment policies when intra-channel competition exists.It is also interesting to see that the total retail profit and thesupplier’s profit can either increase or decrease with the degree of substitution,dependingon the production costs and self-sensitivity of demands.1IntroductionWith the increasing popularity of the Internet,U.S.online retail sales are expected to rise11% to$156billion in2009even in a down economy,according to projections from Forrester Re-search(Reuters,2009).Since Internet is becoming increasingly important as a sales channel,2it is not surprising that web-based channels are fast being integrated into the channel strategy of traditional off-line retailers.Most large retailfirms have adopted a multi-channel strategy that includes both web-based channels and traditional brick-and-mortar channels.For exam-ple,Chapters Inc.has both on-line and off-line book stores.Despite its advantages,such as reaching more potential customers,a retailer’s dual-channel system introduces new manage-ment concerns.Logistics systems,for example,usually need to be redesigned when a traditional retailer becomes a dual-channel retailer.If the frequency of Internet orders for a dual-channel retailer becomes large,order fulfilment from its existing infrastructure is not desirable anymore. de Koster(2003)suggests that an Internet delivery distribution center with specially designed warehouses is established to help a dual-channel retailer obtain economies of scale.In addition, two channels serving common market segments compete.Thus,pricing and inventory decisions for the channels under competition are important issues that the management team has to deal with.In this paper,we consider a two-level supply chain with a dual-channel retailer and model the joint pricing and inventory/production decisions(from now on,joint decisions)at both the supplier and the retailer level.There is a considerable amount of literature that describes advances in research and man-agement practices in the area of joint decisions in a singlefirm.The literature deals with the decisions at the interface between marketing and manufacturing,specifically the simultaneous determination of pricing and inventory/production decisions.This line of research has spanned over50years with over100published articles.A broad review on this topic can be found in Eliashberg and Steinberg(1993)and Yano and Gilbert(2002).Research on joint decisions has drawn a great deal of attention because joint decisions can improve afirm’s profitability over traditional sequential decisions.An example in Kunreuther and Richard(1971)indicates that profits can be increased by12.5%if pricing and inventory/production decisions are made jointly rather than sequentially.The idea of joint decisions can be extended to multi-firm supply chains.The main objective of supply chain management is often to maximize chain-wide profits,while satisfying service requirements and focusing on how to coordinate supply chain members in an efficient manner. Reviews on supply chain coordination can be found in Cachon(2003)and Chan et al.(2004). It is intuitive to think that supply chain members could further leverage chain-wide profits if their pricing and inventory/production decisions are made jointly.3There is indeed an emerging body of literature that deals with joint decisions in multi-firm supply chain settings.Thefirst papers were published over20years ago,and there is a growing interest in the area.Most joint decisions research focuses on a single product through a supply chain(see,for example,Weng,1995).However,when the retailer in a supply chain has dual channels that serve common market segments,the products sold in one channel can be seen as substitutes of the products sold in the other channel;thus creating channel competition.Real-world pricing and inventory/production decisions are not made in isolation for each channel in this type of supply chain.In a dual-channel retailer supply chain,pricing of the product in one channel will affect the demand in the other channel.This subsequently affects the retailer’s re-plenishment(ordering)decisions,which have an impact on the supplier’s inventory/production plans and wholesale price decisions.Thus,not only do each member’s pricing decisions inter-act with its inventory/production decisions but also the supplier’s decisions interact with the retailer’s decisions.We believe that it is important to further investigate joint decision problems in a dual-channel retailer supply chain.Given that research on joint decisions in a supply chain lies at the interface between marketing and operations management,we also believe that this line of research will foster collaboration between and contribute to these two functional areas of business.We note that in a supply chain network with demand substitution,joint decisions can poten-tially become complicated.The interaction between demand for different products in addition to other interactions such as resource sharing,makes the problem difficult because substitution prevents the separate analysis of each product.Furthermore,the large number of decision vari-ables makes the problem difficult to solve.A two-stage supply chain with one supplier and a dual-channel retailer has seven decisions variables:Two retail prices(different prices in different channels),two wholesale prices(if product configurations for the two channels are different),two replenishment decisions for the retailer,and the product replenishment decision for the supplier.Although many types of contracts,such as buy-back and discount contracts,can be employed by the members in decentralized chains,we limit our attention to wholesale price contracts because this type of contract is one of the most popular in practice.We ask the following key questions:1.Does a pure strategy equilibrium exist for the two-player game?How do the supplier andthe dual-channel retailer in a supply chain make their pricing and inventory/production4decisions in equilibrium?2.How do the cross-price effect between the products in a dual-channel retailer supply chainand other system parameters affect the supplier’s and the retailer’s decisions and profits?We perform our investigation in the following two-stage supply chain setting:The supplier in the chain purchases or manufactures the product according to the Economic Order Quantity (EOQ)model and sells the product through a retailer with an on-line and an off-line retail store. The retailer makes decisions for the inventory replenishment and retail prices for the two stores, while the supplier makes its own wholesale price and production or purchase decisions.Price-sensitive EOQ joint decision supply chain models are proposed to determine and understand the interactions between pricing and production/inventory decisions across products at both the supplier and the retailer levels.The models are formulated as Stackelberg games in which the supplier,as a leader,has the economic power and managerial ability to take into account the reactions of the downstream retailer.We assume a general linear demand function in which demand for each retailer channel is a linear function of retail prices in both channels.The parameters of the demand functions for the online store and the off-line stores may take different values.Thus,the two channels are not symmetric in our model.Wefirst analytically prove that a unique pure strategy Nash equilibrium exists without assuming any specific relationship between the paraments for two stores in our mathematical analysis.Then,we use numerical experiments to show the impact of the substitution of the stores and products,i.e.,the cross-price effect,on the supplier’s and the retailer’s decisions in the two channels.In the numerical experiments,we mainly assume that customers are more sensitive to price changes in the online store than the off-line store,and are equally sensitive to price difference between two channels.The analysis results in several insights.Wefind a price convergence effect between the online and the off-line stores as the degree of substitution between the stores and the products increases.The same observation holds for wholesale prices.Thisfinding provides managerial implications on pricing for different product categories in online and off-line stores.For products with strong cross-price effect such as CDs and books,the prices in the two chancels should be close.The opposite pricing strategies should be applied to products with lower cross-price effects.The EOQ of the off-line store decreases with the degree of substitution;the EOQ of the5online store,on the other hand,increases with the degree of substitution.This result provides some guidance on inventory replenishment policies when intra-channel competition exists.It is also interesting to see that the retailer’s and the supplier’s profits either increase or decrease with the degree of substitution depending on the production costs and self-price sensitivities of demands.Whether thefirms can benefit by considering the cross-price effect depends on the production costs and self-price sensitivity of demands as well.The rest of the paper is organized as follows:Section2reviews related literature.Section 3discusses our assumptions and presents our models.Section4analyze the models.Section 5presents numerical examples.Finally,Section6offers concluding comments.Mathematical proofs that are not in the main body can be found in the Appendix.2Literature ReviewThe popularity of online shopping has forced traditional brick-and-mortar companies to redesign their distribution channels(Kopczak,2001).Many manufacturers have added direct internet-enabled distribution channels to distribute their products in addition to their traditional retail essine and Rudi(2006)and Chiang and Monahan(2005)investigate inventory man-agement strategies in such a supply chain setting.At the same time,we can also see that many traditional retail stores have added an online channel to their existing traditional brick-and-mortar channels.However,companies should be cautious when deciding to have multiple channels because of the possible competition among the channels.King et al.(2004)examine the conditions under which traditional retailers should incorporate online channels.In this pa-per,we assume that the supply chain is designed and in place to accommodate both web-based channels and pre-existing off-line channels for a given retailer.We investigate the operational decisions under this structure.Research on joint decisions in supply chains combines research on supply chain management and research on joint decision problems in singlefirms.Research shows that joint decisions can often improve chain-wide performance by incorporating pricing into the system,which is ignored in most supply chain management research.Most models in research on joint decisions are formulated to solve pricing and inventory/production decisions for each member in a two-stage supply chain with a single supplier and a single buyer.A few papers,such as Bernstein and Federgruen(2003),Chen et al.(2001),and Weng and Zeng(2001),consider single-supplier6and multi-buyer supply chains.Multiple competing retailers selling the same product,such as in Bernstein and Federgruen(2005),can be seen as equivalent to selling multiple substitutable petition among retailers has the same effect as competition between substitutable products,which is what we consider in the retailer’s two channels.However,we consider the retailer’s interest in both channels as a whole.Mechanisms to achieve coordination among members without commercial integration,which is the focus of many papers,are out of the scope of this paper.Another line of related work considers pricing strategies in different supply chain structures. Choi(1991),Choi(1996),and Lee and Staelin(1997)examine channel pricing strategies for substitutable products under various supply chain models.However,this line of work does not consider any member’s inventory/production decisions.Next,we discuss the model assumptions and introduce the joint decision models.3Assumptions and Problem FormulationWe consider a two-stage supply chain with one supplier and one retailer who has two distribution channels.In practice,a retailer may have one online store and more than one retail outlet.In our stylized model,we consider one off-line outlet store that competes with the online store;thus, products in one channel are seen as substitutes for the products in the other channel.We refer to the online store as store1and to the off-line store as store2.Each store carries the product manufactured or distributed by the supplier to meet the end market demand D=(D1,D2).The demand for the online store and the demand for the off-line store depend on the prices in the two channels.For many products,these two prices are different.For example,the book“The Snowball:Warren Buffett And The Business Of Life”is sold$35in stores,but it is sold$28 online(,2009).The supplier may charge different wholesale prices for orders from the online store and from the off-line store due to different product configurations or processing costs.We assume that the off-line store has its own inventory to supply the demand of local customers.There are many possible ways for an online store to distribute its products to its customers(de Koster,2003).We assume that the demand for the online store is satisfied by a warehouse,which is strategically located for convenient delivery to the online customers.Thus, we have two separate inventory storage locations fulfilling orders from the online channel and the7off-line channel,respectively.This assumption is realistic for many retail situations and enables us to focus on the impact of price interaction between products on inventories and performance. The orders from the two channels are processed and fulfilled separately by the supplier.In this paper,we use stores interchangeably with distribution centers regarding inventory management because we consider only two stores in the model and each store corresponds to a different distribution center.We model demand as the following linear function of prices:D i=k i−αi p i+θij(p j−p i)(1)with k i>0,αi>0,i=1,2and j=3−i,whereθij≥0represents the competition(substitution or cross-price)effect between products in the online store(store1)and the off-line store(store 2).This effect is caused by channel differentiation and product differentiation.The higherθij, the more substitutable the product in store j is for the product in store i;that is,competition is more severe between the two stores.In addition,we have the following assumption about demand:αi+θij>θji(2)for i=1,2and j=3−i.This assumption states that an increase in the price in either store results in a decrease of total sales in the market.It also implies that a price change in store i has a greater effect on its own demand than on that of the other store.This is an intuitive condition and can be seen in research that adopts a linear demand function such as Bernstein and Federgruen(2003)and Choi(1991).In our model,each retail store operates under a deterministic price-sensitive EOQ model.The retailer seeks the optimal retail prices p=(p1,p2)and the optimal order quantities q=(q1,q2) from the supplier for both retail stores.The total ordering cost of each product consists of a fixed cost per order s i plus a cost per unit w i.The unit inventory holding cost is h i.All other assumptions follow those of the classic EOQ model except that demand is price-sensitive.The retailer’s yearly profit under any given wholesale prices w=(w1,w2),which equals the gross revenue minus the ordering and the inventory holding costs of the two stores,is a function of p8and q :πr(p ,q )=2 i =1(p i −w i )D i (p )−s i D i (p )/q i −h i q i /2(3)We assume that the supplier purchases the product from an outside supplier or manufacturers the product under a deterministic EOQ model and then sells the product to the retail stores at w .If the demands from the two retail stores can be approximated as a constant demand rate D 1+D 2,the supplier’s economic order quantity can be modeled as Q = 2S (D 1+D 2)/H ,where S and H are the supplier’s setup cost and unit holding cost,respectively.The approximation considers the integrated impact of the demands from the two stores on the supplier’s inventory decisions.In addition,it is possible that the supplier provides the products to other retailers in addition to these two retail stores.The approximation is more accurate when the supplier supply a large number of retailers,and the demand from the two retail stores is approximately a fixed percentage of the total demand for the product from all retailers.The resulting ordering and holding cost for the supplier is 2SH (D 1+D 2).We denote by c i the unit cost of acquiring or manufacturing the product if the supplier has different product configurations or different order processing costs for the online store and the off-line store which result in different unit costs.The supplier’s yearly profit for two stores is equal to the sum of yearly gross revenue from each store minus the ordering and holding costs.πs (p ,w )=2 i =1(w i −c i )D i (p )− 2SH (D 1(p )+D 2(p ))(4)Both the supplier and the retailer aim to maximize their own profits.4Model AnalysisIn Section 3,we proposed the model for the two-stage dual-retailer channel supply chain.In this section,we analyze the model.The interaction between the supplier and the retailer are analyzed as a Stackelberg game with the supplier as the leader.A backward induction procedure is applied to solve the problem.In the backward induction procedure,the retailer makes decisions first,then the supplier makes decisions based on the retailer’s decisions.For any p ,which,in turn,determines the annual demand rate D ,the retail store i ’s optimal order size is the EOQ order quantity q i = 2s i D i (p )/h i .The resulting ordering and holding9cost is2s i h i D i(p).Thus,the retailer’s yearly profit function(3)can be rewritten asπr(p)=2i=1(p i−w i)D i(p)−2s i h i D i(p)(5)For any w charged by the supplier,the retailer’s objective is to choose p in order to maximize its yearly profit.In general,this profit function fails to exhibit any known structural properties to ensure a unique optimal solution.However,we can show that this function is strictly concave in p in most,if not all,realistic markets in which sales-to-inventory ratios are not excessively low and demand elasticities are not excessively large(in absolute value).More specifically,we introduce the following conditions:Let I i=p i D i,which is the total gross income for selling theproduct in store i at price p i,and let V i=√2h i s i D i denote the optimal total inventory andsetup cost for the product selling in store i.We use e i to denote the absolute price elasticity of store i’s demand.In the linear demand example,e i=(αi+θij)p i/D i.We assume thate i≤4I iV i,(6)This condition has been discussed in Bernstein and Federgruen(2003,2004),which show that this condition is satisfied in virtually all realistic markets.According to the empirical data that the authors refer to,we assume the following strengthened condition:e i≤0.4I iV i.(7)We can get condition(7)from the data,originally published in Tellis(1988),in Bernstein and Federgruen(2003).We believe this condition(7)is also satisfied in most realistic markets. However,Bernstein and Federgruen(2003)assume only e i≤4I i/V i because it is sufficient to prove their results.Theorem1.When(6)applies,the retailer’s problem is strictly jointly concave in p.A closed-form solution for p in terms of w cannot be obtained from solving thefirst order conditions of the retailer’s problem.However,the strict concavity of the retailer’s problem guarantees a one-to-one mapping between p and w.Therefore,we can obtain w represented by10(8)in terms of p by solving thefirst order conditions of the retailer’s problem:w i(p)=−√h i s i√2D i−(αj+θji)θij−(αj+θji)θji(αi+θij)(αj+θji)−θijθjip j−θ2ji+θijθji−2(αi+θij)(αj+θji)(αi+θij)(αj+θji)−θijθjip i−θji k j+(αj+θji)k i(αi+θij)(αj+θji)−θijθji,for i,j=1,2and i=j(8)From(8),we obtain∂w i(p)∂p i =−θ2ji+θijθji−2(αi+θij)(αj+θji)(αi+θij)(αj+θji)−θijθji+√h i s i(αi+θij)(2D i)32(9)and∂w i(p)∂p j =−(αj+θji)(θij−θji)(αi+θij)(αj+θji)−θijθji−√h i s iθij(2D i)32(10)From(9),we see that p i increases with w i,which is intuitive;if the product has a higher purchase cost,it will have a higher retail price.However,the retail price in one store may increase or decrease with the wholesale price of the other store.That is,∂w i/∂p j can be positive or negative.It depends on the difference between the cross-price effect parametersθij andθji. Ifθij≥θji,which shows that demand of store j is less sensitive to the price change in store i than store i to that of store j,p j decreases as w i increases.However,ifθij<θji,∂w i/∂p j can be positive or negative.Substituting w i(p)into the supplier’s problem,we have the following:πs(p)=−2SH[D1(p)+D2(p)]−θji k j+(αj+θji)k i(αi+θij)(αj+θji)−θijθji+c iD i(p)−122s i h i D i(p)+2i=1−(αj+θji)θij−(αj+θji)θji(αi+θij)(αj+θji)−θijθjip j−θ2ji+θijθji−2(αi+θij)(αj+θji)(αi+θij)(αj+θji)−θijθjip iD i(p).(11)If we assume the following condition:max(α1+α2)(αmax+|θij−θji|)(αmin+θmin)(αmin−θmax),(αmax+|θij−θji|)2(θmin+αmin)≤39√22≈27,(12)whereαmax=max(α1,α2),αmin=min(α1,α2),θmax=max(θ12,θ21),andθmin=min(θ12,θ21), we have Theorem2.Theorem 2.When conditions(7)and(12)apply,the supplier’s objective function is strictly jointly concave in p.From the previous discussion,we know that condition(7)holds for almost all industries.11Although conditions(7)and(12)are sufficient to guarantee strict concavity,our numerical experiments will show that they are not necessary.Theorem 3.When conditions(2),(7),and(12)apply,a unique equilibrium exists for the Stackelberg game.Proof of Theorem3.Because the retailer’s objective function is strictly concave,there is one unique optimal retail price p and one order quantity q for any given wholesale price w.The strict concavity of the supplier’s objective function guarantees that there is only one unique optimal solution for w and Q.The unique equilibrium,however,does not have a closed-form solution.The numerical analysis in Section5will provide insights about the properties of the solution.Next,we turn our attention to the numerical analysis in order to gain more insights under different business scenarios.5Numerical AnalysisIn Section4,we demonstrated the existence of a unique set of optimal joint decisions,under certain conditions.However,the complexity of the models prevented us fromfinding closed-form solutions.Instead,we carry out numerical analysis to investigate the impact of cross-price effect on joint decisions,which is one of the main concerns of this paper,as well as the impact of self-price sensitivities and production and inventory costs on joint decisions.5.1Parameter SettingsSuppose that the products sold at the two retail stores have different configurations,therefore, their unit costs are different.We assume that the product in the online store,store1,has a lower cost and a higher self-price sensitivity than the product in the off-line store,store2. It is common for products in off-line stores to be customized,thus,have higher unit costs. Online customers have higher price sensitivity because it is easy for them to compare prices and switch to other sellers.In addition,the empirical studies in Degeratu et al.(2000)suggest that online customers are more price sensitive than off-line customers.The authors also examined the combined effect of price and promotion on price-sensitivity.When the combined effect is12Table1:The parameter setsSet1(base case)Set2(high cost difference)Store1Store2Store1Store2 Self-price sensitivity,α15111511Cross-price effect,θ2222Potential market size,k1000100010001000Production cost,c2535535Supplier’s setup cost,S1000100010001000Supplier’s unit holding cost,H1111Retailer’s setup cost,s100200100200Retailer’s unit holding cost,h 1.52 1.52considered,online customers are less price-sensitive.In our experiments,we only consider the effect of price,thus,it is reasonable to assume a higher price sensitivity for the online store.The substitutability between the products in the two stores is caused by both product differ-entiation and store differentiation.We do not identify these effects separately.If the products sold are exactly the same in both stores,the substitutability is only caused by store differentia-tion.In this paper,the combined substitutability is represented byθij in the demand function.A common approach is to assume that the product sold in one store has the same cross-price effect to the price changes of the product as in the other store(see,for example,Choi,1996). Thus,we assumeθ12=θ21=θ.Table1shows thefirst two cases that we will analyze.The base case is chosen to be reasonably realistic.The high cost difference case is identical to the base case,except that store1has a much lower unit production cost.By comparing these two cases,we will highlight the impact of the production cost difference on optimal joint decisions.Observe that the unit production costs range from$5to$35.Based on this we will restrict the numerical analysis to retail prices in the range from$1to$150for both products.Next,we turn to the numerical analysis and investigate the impact of the different parame-ters.5.2Cross-price EffectIn a multi-retailer channel supply chain,understanding the degree to which the products in different channels are substitutable is crucial for both the manufacturer and the retailer.The13。