两周期零售商竞争下的闭环供应链的定价和协调策略研究

研究了两生命周期零售商竞争环境下的闭环供应链的定价和生产策略:第一个生命周期中,只有一个制造商和一个零售商,制造商利用原材料生产新制造产品;第二个周期中,制造商生产新制造产品的同时利用自己回收的废旧产品生产再制造产品,并且出现了竞争零售商。分别建立了两周期零售商竞争环境下的分散决策模型和集中决策模型,得到了最优定价和生产策略。结果表明:零售商竞争会降低产品的零售价,增加产品的销售量。制造商利用收益共享契约制定合适的批发价和收益共享比率能协调整个闭环供应链,与零售商实现共赢。最后给出了一个算例验证了上述结论。     

考虑销售时机的季节性商品批发价定价和质量披露管理

零售商在销售季节性商品时采取预售策略能有效降低需求不确定性,然而预售期的延长会使零售商延迟订货时间,最终压缩制造商的生产时间。本文研究制造商如何制定最优批发价定价和质量披露策略,影响零售商的预售行为,并对两种策略下供应链的收益进行分析对比,计算得到制造商策略选择的临界质量披露成本。通过算例验证了随着需求对价格敏感度降低,供应链在两种策略下的收益差呈现逐渐减小的趋势。     

基于碳交易的闭环供应链碳减排与定价策略研究

在消费者对低碳产品存在偏好的碳交易市场中,研究两级闭环供应链中的减排与定价决策问题.对于制造商负责回收模式下的回收再制造过程,采用指数分布来刻画废旧产品质量水平的不确定性.假设新产品和再制造品存在竞争关系,建立制造商和零售商间的Stackelberg博弈模型,给出制造商确定减排投资和回收参考价格以及零售商决定两种产品的差别定价策略,通过算例分析回收产品的残值和碳交易价格对最优策略和供应链成员利润的影响.研究表明,为了获得利润最大,当碳交易的市场价格升高时,制造商应加大减排投资,且零售商应采取提高产品零售价的策略.     

公平关切下零售商主导闭环供应链的定价策略

研究公平关切行为偏好对闭环供应链定价策略的影响,分别基于成员公平中性、制造商公平关切以及两者同时公平关切三种情况,构建了相应的利润决策模型。通过对均衡结果的分析比较发现:随着供应链成员企业公平关切程度的增大,新产品的批发价及零售价均会随之增加,但新产品销量及废旧产品回收率却随之减少;其次,制造商公平关切程度的增加始终促进自身利润及效用的增加,但却对主导零售商及闭环供应链系统的总利润造成了不利影响。     

考虑延伸售后保证服务的闭环供应链定价与协调

在一个制造商和一个零售商构成的闭环供应链中,研究了延伸售后保证(Extended Warranty EW)不同提供模式下的供应链定价决策,比较了不同EW提供模式供应链的效率,设计了考虑满意度的收益共享契约协调供应链。研究结果表明:在服务成本相同的分散式决策环境下,零售商提供EW时,零售价较低,批发价也较低,同时销售量、回收率、EW价、各节点成员利润和总利润较高;无论是哪种EW提供模式,相较于集中式决策,分散决策零售价较高,而回收率、EW价和总利润较低。为实现供应链的协调,考虑到各成员的满意度,依据绝对偏离方法,设计收益共享契约。利用数值算例检验了理论结果。     

考虑政府约束的再制造闭环供应链差别定价博弈模型

本文考虑政府对废弃产品回收的奖惩约束措施,针对一类由制造商、零售商构成的再制造闭环供应链系统,基于博弈论方法研究了新产品和再制造品存在定价差别时集中决策和分散决策模式下的定价策略,得出了闭环供应链成员的最优定价策略和利润,并分析了政府约束措施对闭环供应链运作的影响。研究表明:集中决策下供应链效率高于Stackelberg博弈分散决策,为此设计了一个收益共享协调定价契约实现了闭环供应链的协调,进而分析了政府回收约束情况下再制造过程利润超过制造过程的再制造优先条件。算例分析验证了定价策略及协调机制的有效性。     

随机中断和随机需求下闭环供应链最优回收定价模型

讨论了由一个制造商、一个零售商和一个第三方回收商组成的闭环供应链的差别定价问题.基于博弈论的理论和方法在集中式和分散式决策情形下分别建立了第三方回收定价模型,并给出了随机中断和随机需求下闭环供应链的最优定价策略组合,最后通过数值例子分析了供应中断对最优批发价和零售价的影响.     

基于风险厌恶零售商的双渠道闭环供应链运作策略

在对称信息框架下,针对零售商存在风险厌恶特性的双渠道闭环供应链,基于Stackelberg博弈理论探讨了不同的回收再制造模式下(制造商不回收再制造、制造商独立回收再制造、制造商依托零售商回收再制造)供应链各主体的运作决策。研究发现,在不同回收再制造模式下,制造商与风险厌恶的零售商合作能够获得更多收益。市场波动的增大对供应链各主体并非始终是有害的,随着市场波动的增大,带有风险厌恶的零售商收益不断减小,而风险中性的双渠道制造商收益逐步增大,零售商风险厌恶特性为制造商带来了更多的收益。制造商独立回收再制造以及通过零售商进行回收再制造时,双渠道产品定价均低于不进行任何回收再制造模式下的定价,双渠道需求和利润均高于不进行任何回收再制造模式下的渠道需求和利润,即回收再制造模式不仅为下游顾客带来了更多的消费实惠,同时也为供应链各主体带来了更多的收益。     

基于市场需求增加的双渠道闭环供应链定价机制研究

针对制造商开辟在线销售渠道现象的普及,考虑混合双渠道销售会增加产品的潜在需求,构建制造商与零售商分散、集中定价两种决策模型,利用博弈理论对模型进行求解分析,研究表明在双方分散、集中两种定价策略模型中,随着双渠道开通导致的市场需求率的增加,制造商的批发价、零售商的销售价格上调,零售商的回收价格下降,闭环供应链系统总利润则呈现先下降后上升的变化。最后,运用数值算例进一步验证和讨论双渠道销售导致的市场需求增加对闭环供应链系统定价策略、双方利润及系统渠道效率的影响。     

考虑提供基础质保服务的供应链再制造定价策略研究

再制造产品对新产品需求存在互补与挤兑现象,商家为再制造产品提供基础质保服务刺激其需求的同时,也会使得新产品销量受阻.以一个制造商和一个零售商组成的两级供应链为对象,分别探讨制造商提供再制造与零售商提供再制造两种模式下的定价决策问题.研究结果表明:1)当再制造产品质量水平过低时,由于出售再制造产品需要承担高额的维修成本,因此为避免降低供应链总体收益不应该引入再制造策略;2)再制造产品故障率越高,为了对抗售后维修成本,商家制定的新产品与再制造产品间的均衡售价差异反而会越小;3)当再制造产品质量水平较低时,制造商(零售商)总能在另一方采用再制造策略的情形下受益.     

Two-period pricing and decision strategies in a two-echelon supply chain under price-dependent demand

This paper presents a two-period supply chain model which is comprised of one manufacturer and one retailer who are involved in trading a single product. The demand rate in each period is dependent on the selling prices of the current period and the previous period. We assume that the manufacturer acts as the Stackelberg leader and declares wholesale price(s) to the retailer who follows the manufacturer’s decision and sets his selling prices for two consecutive periods. The manufacturer adopts one of the two pricing options: (1) setting the same wholesale price to both the selling periods (2) setting different wholesale prices to two different selling periods. Based on these pricing options, we develop four decision strategies of the manufacturer and the retailer and compare them. For a numerical example, we study the effects of these decision strategies on the optimal results of the supply chain. Further, we graphically analyze under what circumstances a particular decision strategy plays a dominant role.     

Managing new and differentiated remanufactured products

We study a firm that makes new products in the first period and uses returned cores to make remanufactured products (along with new products) in future periods. The remanufactured product is differentiated from the new product, so the firm needs to choose differentiated prices. We analyze the monopoly environment in two-period, multi-period (three, four and five) and infinite planning horizons, and characterize the optimal remanufacturing and pricing strategy for the firm. In the process, we identify remanufacturing savings thresholds that determine the production and pricing strategy for the firm. Among other results, we find—counter to intuition—that in a finite-horizon, multi-period setting, the optimal policy is not necessarily monotone in remanufacturing savings.     

Quantity discounts based on the previous order in a two-period inventory model with demand uncertainty

We examine quantity discount contracts between a manufacturer and a retailer in a stochastic, two-period inventory model. The retailer places an order in each of the two periods to meet stochastic demands. The manufacturer gives the retailer a price discount on purchases in the second period in excess of the first-period order quantity (incremental QDP) or a price discount for all units ordered in the second period if the retailer orders more in the second period than in the first period (all-units QDP). We show that the retailer's optimal ordering decision in the second period depends on the sum of initial inventory and previous order quantity. Our computational study suggests that the QDP contract induces the retailer to buy more in the second period but less in the first period, while the increase of the total order quantity may not be significant; and that it increases the manufacturer's profit only when the wholesale margin is large relative to the retail margin.     

Dynamic Slotting and Pricing Decisions in a Durable Product Supply Chain

We consider a supply chain in which a manufacturer sells an innovative durable product to an independent retailer over its life cycle. We assume that the product demand follows a Bass-type diffusion process and that it is determined by the market influences, retail price of the product, and shelf space allocated to it. We consider the following retailer profit optimization strategies: (i) the myopic strategy of maximizing the current-period profit and (ii) the far-sighted strategy of maximizing the life-cycle profit. We characterize the optimal dynamic shelf-space allocation and retail pricing policies for the retailer and wholesale pricing policies for the manufacturer. We compute also these policies numerically. Surprisingly, we find that the manufacturer, and sometimes even the retailer, is better off with a myopic retailer strategy in some cases.     

Competition for cores in remanufacturing

We study competition between an original equipment manufacturer (OEM) and an independently operating remanufacturer (IO). Different from the existing literature, the OEM and IO compete not only for selling their products but also for collecting returned products (cores) through their acquisition prices. We consider a two-period model with manufacturing by the OEM in the first period, and manufacturing as well as remanufacturing in the second period. We find the optimal policies for both players by establishing a Nash equilibrium in the second period, and then determine the optimal manufacturing decision for the OEM in the first period. This leads to a number of managerial insights. One interesting result is that the acquisition price of the OEM only depends on its own cost structure, and not on the acquisition price of the IO. Further insights are obtained from a numerical investigation. We find that when the cost benefits of remanufacturing diminishes and the IO has more chance to collect the available cores, the OEM manufactures less in the first period as the market in the second period gets larger to protect its market share. Finally, we consider the case where consumers have lower willingness to pay for the remanufactured products and find that in that case remanufacturing becomes less profitable overall.     

零售商价格领导权结构下考虑专利保护的闭环供应链定价策略

很多零售商常处于其所在供应链的主导地位,针对零售商具有价格领导权并且考虑专利保护的闭环供应链进行分析,运用博弈理论得到了零售商、原制造商和再制造商的最优策略,以及最优策略关于再制造成本节约的变化规律。研究表明:随着再制造成本节约的增加,最优单位专利许可费和废旧产品回收价格逐步增加,最优产品批发价格和销售价格逐步降低,并通过数值算例表明:零售商、再制造商和供应链系统的利润逐步增加,原制造商的利润逐步减少。     

考虑策略型消费者和退货的零售商降价促销决策研究

基于零售商降价促销问题,引入策略型消费者,考虑到异质性消费者有可能对商品不满意,构建两期决策模型,旨在从退货和价格路径优化两方面提高零售商利润。研究给出(不)允许退货时,零售商面对策略型消费者的定价建议,指出零售商制定价格要在一定程度上参考商品类型。订货量相同时,给出策略型消费者降低零售商的期望利润的条件;面对短视型或者策略型消费者时,允许退货可在特定条件下提升零售商利润。消费者退货成本越高,对策略型消费者消极影响的抑制作用越明显,零售商的利润增长越显著。最后,通过数值算例分析了在两种退货决策以及不同退货成本下产品类型对零售商定价的影响,以及退货措施对策略型消费者消极影响的作用。     

Pricing and two-tier advertising with one manufacturer and one retailer

This paper considers the pricing decisions and two-tier advertising levels between one manufacturer and one retailer where customer demand depends on the retail price and advertisement by a manufacturer and a retailer. We solve a Stackelberg game with the manufacturer as the leader and the retailer as the follower. With price sensitive customer demand and a linear wholesale contract, we obtain the optimal decisions by the manufacturer and the optimal responses by the retailer. Our results show that cost sharing of local advertising does not work well, it is better for the manufacturer to advertise nationally and offer the retailer a lower wholesale price.     

考虑专利许可的制造商与再制造商竞争策略

研究了在专利完善市场受专利保护的原制造商面对再制造商竞争所采取得两种策略:无许可再制造与许可再制造。在再制造成本差异及消费者异质的情况下,分别建立了无回收数量限制的单周期模型和受回收数量限制的两周期模型,利用博弈理论求解原制造商和再制造商竞争情况下的最优决策。通过比较分析和数值仿真,讨论了不同参数对新产品和再制造品定价策略及双方利润的影响,并给出了相关结论。结果表明,原制造商倾向于采用许可再制造策略,这是在于原制造商可以通过收取专利许可费来分享再制造所带来的收益;而对再制造商而言,只有许可再制造所带来的节省成本足够高时,才有意愿接受原制造商的专利技术支持。