Coordination of cooperative cost-reduction efforts in a supply chain partnership

We study cooperative cost reduction in a decentralized supply chain with a single manufacturer and multiple suppliers. The manufacturer assembles components that are procured from the suppliers to produce a final product. Both the manufacturer and the suppliers invest in reducing the unit production costs of the components. We see that neither of the two well-known conventional contracts, the wholesale price contract and the cost-plus pricing contract, generally coordinates the supply chain, i.e., under both of these types of contract, the individual optimal cost-reduction efforts of players deviate from the centralized system-optimal solution. However, this result is not surprising because these contracts encourage either only the manufacturer or only the suppliers alone to invest in cost reduction.     

Coordinating a three-echelon supply chain under price and quality dependent demand with sub-supply chain and RFM strategies

The paper considers a three-echelon supply chain which consists of one supplier, one manufacturer and one retailer for trading a single product. The market demand at the retailer is influenced by the retail price and the quality of the product. The quality of the finished product at the manufacturer depends on the supplier’s raw material quality. We analyze the model for both deterministic and stochastic demand patterns. We first study the centralized and decentralized systems, and then the decentralized system with a sub-supply chain coordination strategy (where the manufacturer chooses to merge with either the supplier or the retailer and then acts as a single entity) and the two-level retail fixed mark-up (RFM) strategy. In the case of the two-level RFM strategy, the manufacturer and the retailer use fixed mark ups over the supplier’s wholesale price. The proposed models are demonstrated through numerical examples. It is observed from the numerical study that the two-level RFM strategy is superior to the sub-supply chain coordination strategy. Further, the two-level RFM strategy in the stochastic demand scenario is not as effective as in the deterministic demand scenario.     

考虑服务和退货的双渠道供应链定价问题研究

在考虑零售服务和消费者退货情况下,运用两阶段优化方法分别探究了集中式和分散式两种双渠道供应链的最优定价策略。研究发现零售服务有助于提高零售商的渠道权力,并始终使制造商获益,但只有当服务水平小于某一临界值时,才使制造商和零售商同时得到帕累托改进。零售价格和直销价格与退货率正相关,而与服务水平的关系受渠道结构的影响。服务水平的提高加剧了供应链的“双重边际化”效应,制造商通过生产与消费者需求相匹配的产品来降低退货风险可以减弱这种效应,从而提高供应链效率。     

货架展示量与定价模型及供应链协调分析

针对单生产商和单零售商组成的供应链,假定需求依赖于货架展示量与零售价格,分别建立了集中式控制下和分散式控制下的货架展示量与定价决策模型,给出了协调供应链的批发价加货架补贴合同。针对单生产商和n个零售商组成的供应链,假定总需求是n个零售商的总货架展示量和平均零售价格的函数、每个零售商的需求与其货架展示相关的促销努力成正比,分析了相应的集中式与分散式决策,并给出了协调供应链的批发价加货架补贴加转移支付合同。     

双渠道供应链中的价格决策与服务决策研究

在集中式和分散式决策条件下,应用两阶段优化技术和Stackelberg博弈的理论与方法,对一个制造商与一个零售商组成的双渠道供应链,重点考虑了制造商在网络渠道的服务决策,建立了利润最大化模型,得到了最优的价格策略和服务策略,研究表明,网络渠道的服务水平对制造商和零售商的价格决策有着重要影响,而且消费者对网络直销渠道的偏好对制造商和零售商价格决策和服务决策会产生很大影响．     

基于双边平台匹配努力的共享供应链动态定价策略研究

考虑在一个由双边平台、制造商和零售商组成的共享供应链中,研究双边平台匹配努力下的共享供应链动态定价问题。其中制造商通过平台共享其剩余产能,平台为动态地匹配制造商和零售商的供需资源而付出匹配努力,以此改变其服务水平,进而影响共享平台的交易费用、制造商的批发价格和零售商的零售价格。利用HJB方程构建微分博弈模型,分别探讨集中和分散式共享供应链中最优平台匹配努力和各成员的动态定价策略,得到不同情形下的动态定价轨迹,并分析了关键参数对定价策略的影响。结果表明,平台匹配努力通过影响其服务水平对最优/均衡解有正向影响,供应链各成员的定价策略取决于平台初始服务水平和稳态服务水平之间的关系。     

随机需求下考虑零售商竞争的闭环供应链定价与协调

在随机需求环境下考虑两零售商间存在竞争的闭环供应链定价与协调问题, 其中两个零售商各自面临不同的随机市场需求,并且各自的回收量都受到对方回收价格的影响。在集中决策和分散决策两种情形下分析了制造商和两零售商的定价决策问题,并运用收入费用共享契约实现了闭环供应链的协调。     

随机需求下两条供应链的货架展示量竞争与链内协调研究

针对两条分别由单生产商单零售商组成的替代产品供应链,假定两种产品的随机总需求依赖于总货架展示量、而每种产品的市场份额与其货架展示量成正比,利用均衡分析方法研究两条供应链在货架展示量与订货量方面的竞争均衡,分别建立了对应两条供应链均为分散式供应链、均为集中式供应链、一条为分散式供应链一条为集中式供应链的EPEC、MPEC和Nash均衡模型。随后分析了供应链竞争下的链内协调合同设计问题,给出了同时协调零售商的货架展示量和订货决策的回购加线性补贴合同和收益共享加线性补贴合同。最后的算例表明,协调是供应链竞争下的占优策略,但两条供应链均协调时的利润反而低于均不协调时的利润,即存在囚徒困境现象。     

电商平台主导的E-闭环供应链定价、服务决策与回收模式

E-闭环供应链(E-CLSC)管理须有科学的定价与服务决策支撑。针对集中和分散回收模式,构建电商平台主导的Stackelberg博弈模型,研究E-CLSC定价与平台服务决策。通过对产品销售价格、平台服务水平等均衡策略分析,揭示回收主体投资有效性、回收转移价格等对E-CLSC均衡策略影响。研究表明:集中回收模式优于分散回收模式;在分散回收模式下,若回收主体投资有效性相同,制造商、平台均偏好制造商回收模式;平台回收与第三方回收模式相比,产品销售价格、平台服务水平相同,前者回收渠道效率较高;平台回收模式下,单位佣金与回收转移价格负相关,产品销售价格、平台服务水平、废旧产品回收率均与回收转移价格无关;若回收主体投资有效性差异程度较大,制造商回收模式并非总是最优的,回收主体投资有效性差异显著影响产品销售价格、回收渠道效率、平台服务水平和E-CLSC各成员利润。上述结论通过数值仿真进行了验证。     

Mean–variance analysis of supply chains under wholesale pricing and profit sharing schemes

In this paper, we explore the use of a wholesale pricing and profit sharing scheme (WPPS) for coordinating supply chains under the mean–variance (MV) decision framework. We first analytically establish the necessary and sufficient conditions for coordinating the centralized supply chain by WPPS. We then show that there exists a unique equilibrium of the Stackelberg game with WPPS in the decentralized case. After that, we discuss the information asymmetric case in which the retailer can be benefited by pretending to be more risk averse. Finally, we propose a new measure for the manufacturer to prevent this cheating from happening. Insights are generated.     

Joint decision on production and pricing for online dual channel supply chain system

Online dual channel supply chain system and its joint decision on production and pricing under information asymmetry are investigated. First, optimal production and pricing strategies are depicted according to the centralized system. Next, two kinds of contracts are designed for the decentralized system to coordinate the channel system, and their production and pricing decisions are depicted using a principle-agent method for the asymmetric information on the traditional channel. Finally, some interesting insights are found: the centralized system is not always being better than the decentralized system with a feasible contract if the traditional and professional retailer has lower selling cost. When uncertainty in the traditional channel information is higher, the manufacturer prefers a menu of contracts according to different channel settings. When uncertainty is lower, the manufacturer prefers a single contract. Furthermore, the higher the uncertainty in the traditional channel, the more the information welfare of the traditional retailer will gain. Performance with a menu of contracts cannot outperform that with a single contract integrating optimistic and pessimistic market setting well; their difference in performance is bigger when uncertainty in the traditional channel information is less.     

回收再制造与定价决策模型及供应链协调分析

假定负责废旧产品回收再制造的生产商为主导者.针对单生产商和单零售商组成的逆向供应链,分析了Stackelberg博弈(分散式控制)下和合作(集中式控制)下的零售价和回收再制造率决策,发现集中式供应链的利润较高,给出了协调供应链的利润共享合同.针对单生产商和n个竞争零售商组成的供应链,分析了一主多从Stackelberg博弈和联合决策,结果表明供应链合作可降低产品的零售价格、提高回收再制造率和供应链总利润,进而给出了协调单生产商和n个零售商决策的利润共享合同.最后的算例表明了模型的合理性和协调合同的有效性.     

零售商回收电子废弃物条件下的定价模型研究

以废旧手机为例,在分散决策和集中决策条件下建立了零售商单独回收的定价模型.然后,分别求得了在分散决策下的Stackelberg均衡解与集中决策时的最优决策,并作了对比分析.结果表明:集中决策下的系统利润优于分散决策下的系统利润.最后,通过数值验证了相关结论.     

碳补贴和时滞效应下低碳供应链微分博弈研究

在政府低碳补贴政策下,本文考虑技术的时滞效应,构建政府、制造商和零售商的微分博弈模型,在分散决策下分析了制造商采用远视策略和短视策略时各方的最优决策,并将结果与集中决策下的对应情形进行了比较分析。研究发现滞后效应与政府的最优补贴比率负相关。制造商的短视策略并不一定会损害收益,若滞后时间超过特定阈值,那么企业将不会投资低碳技术。集中决策下减排努力、宣传努力、减排稳定值、商誉稳定值均高于分散决策,但满足一定条件时集中决策的供应链利润会低于分散决策。     

基于产品生命周期的闭环供应链定价和协调策略研究

研究产品生命周期条件下一个制造商、一个零售商组成的闭环供应链的定价和协调策略:制造商第一周期只生产新品,从第二周期开始生产再制造品,并负责回收。建立了两周期、多周期和无限周期下的分散决策模型和多周期下的集中决策模型,得到最优定价和生产策略。结果表明:两周期中,制造商和零售商应根据不同的成本节约额制定不同的批发价、零售价和生产量。多周期中,当成本节约额比较小时,除第一和最后一个周期外,制造商和零售商应采取相同的定价和生产策略;当成本节约额比较大时,除第一和最后两个周期外,制造商和零售商应采取相同的定价和生产策略。无限周期中,除第一周期以外,制造商和零售商都应该采取相同的定价和生产策略。在有限周期情况下,制造商和零售商应通过在前期制定比较低的批发价和零售价,以提高生产量和销售量,使得后期的回收量增大,达到降低成本的目的。通过引入收益共享契约制定合适的批发价和销售收入及再制造收益共享比率可以协调整个闭环供应链。算例验证了上述结论。     

不确定环境下制造再制造供应链定价与协调问题研究

研究模糊不确定环境下制造/再制造供应链系统的定价与协调问题。通过考虑制造产品与再制造产品的差异性,利用模糊理论和博弈论理论等知识,在集中式和分散式决策方式下,分别给出了制造/再制造商和零售商关于制造产品和再制造产品的最优价格决策,以及分散决策方式下的系统协调策略,并且利用数值算例对所得结果进行了分析。     

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。     

供应链互补产品广告投入和捆绑销售联合决策研究

以一个制造商和一个零售商的供应链为研究对象,制造商生产两种互补产品,零售商可选择分开或捆绑两种销售策略。考虑互补品的负交叉弹性和广告外部性的特点,构建基于溢出效应的需求模型,运用博弈论的方法,求解零售商采取分开和捆绑两种销售策略时的均衡结果。通过比较不同销售策略下的均衡结果及利润关系,探讨在分散式和集中式两种情况下,零售商的最优广告投入和捆绑销售的联合决策问题。最后,通过数值算例,讨论产品互补程度和广告成本系数对决策结果的影响。研究结果表明,无论是在分散式还是集中式决策下,当产品互补程度较高或广告成本系数低时,分开销售是占优策略而广告费用较高;当产品互补程度较低且广告成本系数高时,捆绑销售是占优策略且广告费用较低。     

基于收益共享机制的干支线衔接运输联合定价模型

在班轮运输网络中,支线运输与干线运输具有互补性,干线承运人与支线承运人之间的合作能够为托运人提供更高的便利度和更完善的运输服务。本文在考虑可替代运输路径之间竞争关系的基础上,研究干支线衔接路径的定价问题,在运输链纵向一体化和分散化两种结构下,构建Bertrand博弈模型研究上下游承运人的均衡运价。同时,设计合理的收益共享机制,使承运人在分散结构的运输系统中仍能实现运输链的协调。     

Equilibrium structures of two supply chains with price and displayed-quantity competition

This paper studies the equilibrium structure of two competing supply chains, each of which consists of one manufacturer and one retailer who faces the demand influenced by price and displayed quantity. Each chain has two structure options: integration or decentralization. Under linear demand, we present the optimal pricing/displayed quantity of all members in the two chains under possible structures: two integrated chains (II), two decentralized chains (DD), and one integrated chain and one decentralized chain (ID or DI). We then analyse the impact of the intensities of price and displayed-quantity competition on the equilibrium structure of two supply chains. The results show that both price and displayed-quantity competition intensities influence significantly the equilibrium structure. Moreover, under certain specific conditions, both price and displayed-quantity competition can have the two chains fall into the prisoner’s dilemma and play a game of chicken as well.