生产商规模不经济的双渠道供应链协调策略选择

供应链协调是提高供应链整体利润、改善供应链各方利益的根本手段.旨在探讨生产商具有生产规模不经济特性的双渠道供应链协调策略.给出了集中决策下双渠道供应链的市场价格与整体利润,以及分散决策下批发价契约与收益共享契约的设计方法.提出了协调度的概念,即契约使供应链协调的程度.证明了批发价契约的协调度小于1,不能实现供应链的协调;而收益共享契约的协调度等于1,但相对于批发价契约,收益共享契约不能同时改善零售商和生产商的利润,导致收益共享契约不可实施.为找到双渠道供应链可实施的协调策略,提出了带固定补偿的收益共享契约的设计方法和用纳什讨价还价协商模型确定固定补偿的方法.结果表明,该契约的协调度等于1,并且相对于批发价契约能同时改善零售商和生产商的利润.另外,研究还表明:生产不经济的弹性系数与销售价格成正比、与供应链的整体利润成反比,并且不同渠道间的竞争越激烈,双渠道供应链的销售价格和需求反而越高,双渠道供应链的总利润也越高,并且,带固定补偿的收益共享契约同样可以协调线性成本下的双渠道供应链.最后用算例验证了本文结论的正确性和有效性.     

信息共享条件下供应链在线与传统销售渠道协调定价

研究了市场需求信息更新条件下,具有传统和在线销售的供应链双源渠道协调问题。建立了以制造商为主方,零售商为从方的Stackelberg主从对策模型,该模型实质是制造商在线销售价格与零售商传统销售价格之间协调;给出了需求信息共享和非共享两种情况下的供应链最优协调价格策略;分析了需求预测信息对供应链最优协调价格策略及其利润的影响;最后进行了数值计算,探讨了需求信息参数对供应链及其成员利润的影响。结果表明,信息共享下的供应链及其成员利润要高于非信息共享情况,而且,越精确的需求预测将导致更高的利润。     

碳信息不对称下的供应链谎报决策与协调研究

低碳环境下,供应链上下游企业之间面临碳排放量及碳价格信息不对称带来的风险。针对该问题,文章在碳交易环境下,基于"基准法"的碳配额分配机制,构建以制造商为主导的两级供应链模型,在碳信息不对称下分析供应链成员的谎报行为及其对供应链绩效的影响,研究表明,若制造商拥有碳信息优势并在满足最优谎报方程的前提下采取谎报行动,制造商的利润没有得到实质的提升,且其谎报决策并不对供应链绩效产生影响;而当零售商拥有碳信息优势时,一定会为了提高自身利润而谎报碳信息,且在最优谎报方程下能提高零售商及供应链总利润,同时降低制造商的利润,但该谎报行为不能使供应链绩效达到最优。针对零售商的谎报行为,文章采用收益共享契约进行协调,使供应链绩效达到最优,并验证了该契约对激励零售商真实反馈碳信息的有效性。     

信息共享对供应链合作广告影响的博弈分析

本文研究需求不确定环境下合作广告供应链中的信息共享对供应链上下游企业决策及绩效的影响。在此供应链中,上游制造商决定产品批发价格及地方性广告费用分担比例,下游零售商决定地方性广告费用的投入及产品售价。运用斯坦伯格博弈模型研究了不确定性对上下游定价和广告投入决策的影响,分析比较了有信息共享和无信息共享两种情况下供应链各成员及供应链利润。结果表明,对零售商而言,其广告水平,产品售价,及期望利润都随着广告效应的增大而增加;对制造商而言,当广告费用分担率较大时,较强的广告效应会导致零售商对广告的过度投入,从而损害制造商的利润。给定制造商广告分担率,信息共享可以提高制造商期望利润,却减少了零售商期望利润,并可能减少供应链的总体利润。给定批发价格的情况下,信息共享会提高制造商及供应链期望利润,而对零售商来讲无差别。     

供应链中纵向信息获取和横向信息共享策略研究

研究由一个制造商和两个零售商组成的二级供应链中,零售商之间的横向信息共享策略和制造商的信息获取以及最优定价问题。在模型中,制造商同时为两家零售商提供等价商品,零售商向消费者销售商品且进行价格竞争。以Bertrand博弈为研究手段,求解了零售商的均衡销售价格、订货量决策和信息共享策略,制造商的最大利润和最优批发价格,以及供应链利润。分析比较了在制造商不同的信息获取策略下,零售商、制造商和供应链的利润。研究表明,零售商之间完全信息共享始终为占优策略。但制造商获取下游信息时会使得自身利润增加,零售商利润减少,因此零售商不会主动把信息共享给制造商。考虑到下游的边界均衡解,供应链的利润变化还与市场的不确定性和产品的替代性有关。当产品替代性较高或产品替代率较低且市场的不确定性处于中间水平时,制造商获取信息后供应链利润增加,此时制造商可以用部分增加的利润成功购买零售商信息。该模型为上游制造商提供了最优定价和信息获取策略,也为下游零售商提供了求解自身最优销售价格、订货量和信息共享决策的方法。     

供应链收入共享契约协调的随机期望值模型

本文研究了供应链契约协调中的收入共享契约.建立了具有缺货成本的供应链收入共享契约协调的随机期望值模型,推导了实现分散供应链协调的收入共享契约参数之间的关系,分析了收入共享机制在改进供应链整体运作绩效方面的作用.设计了求解随机期望值模型的混合智能算法,进行了收入共享契约协调模型仿真实验,探讨了收入共享契约参数变化对供应链成员绩效的影响.结果表明,本文建立的收入共享契约协调的随机期望值模型具有实际意义,并在随机需求条件下协调了供应链运作.     

两阶段价格和需求变动产品的供应链协调

通过建立两阶段动态模型研究了价格和需求变动产品的供应链协调问题。首先建立了集中协调、分散无协调和分散收入共享协调三种模式下供应链的动态规划模型;证明价格和需求变动时供应链在不同模式下存在最优解,应用改进的收入共享契约可以协调供应链系统并取得集中协调供应链系统的绩效,并可实现供应链利润的任意分配;给出了协调契约参数的确定方法;讨论了价格、市场需求风险变化对供应链协调绩效及最优契约参数的影响;通过数值实验分析证明了改进的收入共享契约可以使系统各方共同承担风险及分享利润,使各方绩效达到Pareto最优。     

考虑顾客行为与零售商公平关切的易逝品定价与供应链协调研究

本文在公平中性的供应商、公平关切的零售商和策略型与短视型顾客并存的供应链下,研究了零售商的最优定价与订货量及供应链的协调.研究发现,公平关切的零售商有提高产品价格和压低订货量的倾向;批发价契约难以实现供应链的协调;收益共享契约能实现供应链的完美协调.论文还讨论了零售商的公平关切程度和利润分享比例对供应商利润、零售商效用及供应链效用的影响.     

有限需求信息下基于回购契约的供应链鲁棒协调策略

研究了仅知需求均值和区间信息条件下,基于最小最大后悔值准则的供应链回购契约协调问题。针对未知需求具体分布形式的两级供应链系统,在回购契约框架下,建立了以鲁棒决策和最优决策下的供应链及其成员绩效之差为目标函数的供应链协调模型。在仅知需求区间和均值信息条件下,采用鲁棒优化方法求解了最小最大后悔值准则下的集成供应链鲁棒订货策略和分散供应链鲁棒契约协调策略及其绩效偏差。分析了不同服务水平和契约参数条件下,由于信息缺失而未能实现最优运作的供应链及其成员绩效损失情况。最后,进行了数值计算,验证了通过鲁棒优化方法得到的供应链回购契约协调策略的鲁棒性和有效性。结果表明,基于回购契约的供应链鲁棒协调策略能够有效抑制需求不确定性对系统及其成员运作绩效的影响,同仅知需求区间信息相比,额外获得需求均值信息能够有效改进供应链运作绩效。     

大规模定制环境下定制产品与标准产品的定价与库存协调研究

研究了大规模定制环境下需求不确定、对价格敏感且可替代情况下的定制产品定价与标准产品库存量的协调问题.分析比较了在集成供应链情况下和在以大规模定制商为主导的供应链中的定价和库存策略,并提出一种基于收益共享的回购合约.研究结果表明,在以大规模定制商为主导的供应链中,定制产品的价格低于集成供应链情况下的价格,标准产品的库存低于集成供应链情况下的库存,供应链的整体利润要小于集成供应链的利润,基于收益共享的回购合约能够有效地协调大规模定制供应链.     

The Impact of Information Sharing on Supply Chain Performance under Asymmetric Information

The use of screening contracts is a common approach to solve supply chain coordination problems under asymmetric information. One main assumption in this context is that managers without specific incentives would rather use their private information strategically than reveal it truthfully. This harms supply chain performance. This study investigates the impact of information sharing in a principal‐agent setting that is typical for many supply chain transactions. We conduct a laboratory experiment to test whether information sharing has an influence on supply chain coordination. We find that information sharing within the supply chain has two positive effects. First, information sharing reduces the inefficiencies resulting from information deficits if there is a certain amount of trust in the supply chain. Second, communication can limit out‐of‐equilibrium behavior with a small impact on the firm's own payoff, but a large impact on the supply chain partner. Furthermore, we find that both effects are amplified when communication takes place in an environment that allows the less informed supply chain party to punish or to reward the better informed party. Although our extended mechanisms substantially enhance the poor performance of the theoretically optimal coordination contract menu, we find no mechanism that implements supply chain performance superior to the theoretically predicted second‐best level.     

Supply chain coordination using revenue-dependent revenue sharing contracts

A typical single period revenue sharing contract specifies a priori a fixed fraction for the supply chain revenue to be shared among the supply chain players. Over the years, supply chains, especially in the movie industry, have adopted multi-period revenue sharing contracts that specify one fraction for each contract period. These revenue sharing contracts are of revenue-independent type such that the revenue sharing fractions are independent of the quantum of revenue generated. Motivated by the recent events in Bollywood – one of the popular arms of the Indian movie industry – in this paper we develop and analyze a game theoretic model for revenue-dependent revenue sharing contracts wherein the actual proportion in which the supply chain revenue is shared among the players depends on the quantum of revenue generated. Our aim is to understand why revenue-dependent revenue sharing contracts are (or not) preferred over revenue-independent contracts. We also examine if supply chains can be coordinated over multiple periods using both types of revenue sharing contracts. We build a two-period model characterizing supply chains in the movie industry and highlight the implications of the multi-period contractual setting for the supply chain coordinating revenue sharing contracts. We show that supply chains can be perfectly coordinated using both types of revenue sharing contracts; however, there exist situations in which revenue-dependent contracts outperform revenue-independent contracts. Using revenue-dependent revenue sharing contracts supply chains can be coordinated while providing positive surplus to the supply chain players that is otherwise not possible under certain situations in revenue-independent contracts. We also demonstrate how revenue-dependent contracts enhance supply chain coordination and highlight their significance when the drop in the revenue potential from one period to another is moderate.     

Channel Coordination for a Supply Chain with a Risk‐Neutral Manufacturer and a Loss‐Averse Retailer*

This articles considers a decentralized supply chain in which a single manufacturer is selling a perishable product to a single retailer facing uncertain demand. It differs from traditional supply chain contract models in two ways. First, while traditional supply chain models are based on risk neutrality, this article takes the viewpoint of behavioral principal–agency theory and assumes the manufacturer is risk neutral and the retailer is loss averse. Second, while gain/loss (GL) sharing is common in practice, there is a lack of analysis of GL‐sharing contracts in the supply chain contract literature. This article investigates the role of a GL‐sharing provision for mitigating the loss‐aversion effect, which drives down the retailer order quantity and total supply chain profit. We analyze contracts that include GL‐sharing‐and‐buyback (GLB) credit provisions as well as the special cases of GL contracts and buyback contracts. Our analytical and numerical results lend insight into how a manufacturer can design a contract to improve total supply chain, manufacturer, and retailer performance. In particular, we show that there exists a special class of distribution‐free GLB contracts that can coordinate the supply chain and arbitrarily allocate the expected supply chain profit between the manufacturer and retailer; in contrast with other contracts, the parameter values for contracts in this class do not depend on the probability distribution of market demand. This feature is meaningful in practice because (i) the probability distribution of demand faced by a retailer is typically unknown by the manufacturer and (ii) a manufacturer can offer the same contract to multiple noncompeting retailers that differ by demand distribution and still coordinate the supply chains.     

基于决策者风险规避特性的供应链需求信息共享价值分析

在随机需求条件下,利用条件风险估值(conditional value-at-risk,CVaR)的风险度量准则建立了供应链的需求信息共享决策模型,着重分析了零售商的风险规避程度以及市场需求的不确定性信息对供应链各决策者以及供应链整体信息共享价值的影响。研究结果表明,需求信息共享价值与零售商的风险规避程度、市场不确定性大小以及市场不确定信息所预测的市场需求变化情况有关。数值分析结果表明,零售商越害怕市场的不确定性风险,需求信息共享越有利于提升分散供应链的运作效率;但当市场信息反映出未来的市场需求是消极且零售商接近风险中性时,供应链的需求信息共享价值反而小于零,此时没有进行信息共享的必要。     

RFID技术压缩提前期对供应链收益的影响与协调

RFID技术能够压缩供应链的提前期,提高零售商的服务水平,同时也会增加供应链的成本,如何协调采用RFID技术后供应链成员的收益是迫切需要解决的问题。本文针对单供应商和单零售商的两级供应链,考虑提前期变化对供应链及其成员收益的影响,在假定RFID单位标签成本为一定值的情况下,研究了采用RFID技术前后分散式供应链和集中式供应链的收益,并探讨了契约参数的变化对供应链协调的影响。结果表明,收益共享契约能有效地协调采用RFID技术后的供应链,实现供应链成员的共赢,但是采用RFID技术后,能够协调供应链的契约参数的区间缩小,零售商的最优订货量减少,供应商的批发价格上升。最后得出供应链采用RFID技术后提前期压缩量的阈值,通过数值分析对结论进行了验证,该研究为供应链企业采用RFID技术提供了相应的管理启示。     

基于信任的供应预测信息共享策略

现实中供应不确定是比较普遍的现象，供应预测信息共享对改善供应链绩效起着重要作用。针对由一个制造商和一个零售商组成的单周期供应链，利用斯坦克尔伯格博弈方法研究信任对供应预测信息共享的影响以及回购契约对该供应链的协调作用。研究表明：零售商对制造商的信任影响供应预测信息共享效果，进而影响供应链绩效；制造商说谎的心理负效用系数越大，越倾向于说真话；回购契约可以促进制造商共享真实供应预测信息；当制造商说谎的心理负效用系数较大时，存在一个最佳的回购价格，使供应链实现完美协调。     

Sharing shipment quantity information in the supply chain

This paper evaluates the benefit of a strategy of sharing shipment information, where one stage in a supply chain shares shipment quantity information with its immediate downstream customers—a practice also known as advanced shipping notice. Under a periodic review inventory policy, one supply-chain member places an order on its supplier every period. However, due to supplier's imperfect service, the supplier cannot always exactly satisfy what the customer orders on time. In particular, shipment quantities arriving at the customer, after a given lead-time, may be less (possibly more) than what the customer expects—we define this phenomenon as shipment quantity uncertainty. Where shipment quantity information is not shared with customers, the only way to respond is through safety stock. However, if the supplier shares such information, i.e. customers are informed every period of the shipment quantity dispatched, the customer may have enough time to adapt and resolve this uncertainty by adjusting its future order decisions. Our results indicate that in most circumstances this strategy, enabled by information technologies, helps supply-chain members resolve shipment quantity uncertainty well. This study provides an approach to quantify the value of shared shipment information and to help supply-chain members evaluate the cost-benefit trade-off during information system construction. Numerical examples are provided to indicate the impact of demand/shipment parameters on strategy implementation. While previous studies mainly focus on the information receiver's perspective, we evaluate a more general three-tier linear supply chain model via simulation, studying how this strategy affects the whole supply chain: the information sender, the information receiver and the subsequent downstream tier.     

评估供货量信息的共享在供应链管理中的价值

本文衡量了一种共享供货量信息的信息策略-即供应商向其客户(下游厂商)发布每次供货的具体数量,并通过数学建模以及模拟对此问题进行分析。结果显示,在大多数情况下,这种由信息技术支持的策略有助于供应链中的厂商适应并解决供货量不稳定的问题,供货量越是不稳定,企业越是能够从中获益。但是,当供应商及时稳定地补足缺货时,这种受益并不明显。本文的另一个发现是,供货量信息的共享可以使信息获得者受益,但是可能并不有利于发布者。也就是说,这样的信息共享能够为供应商的客户带来好处,但是供应商本身并不能因此获得显著的额外利益,反而要承担实施成本。这种不对称可能会阻碍企业间信息系统的实施,从而促使供应链成员协调信息沟通的费用,以激励供应商发布信息。我们的研究提供了对供货量信息价值进行量化的途径,同时也能够帮助供应链中的厂商评估他们在信息系统建设中的成本-收益率。     

供应链治理机制与供应链绩效之间的相互作用关系——基于信息共享的中介效应和信息技术水平的调节效应

本文构建起了供应链治理机制与供应链绩效之间的相互作用关系理论模型，并进而对信息共享在其中所起的中介效应及信息技术水平在其中所起着的调节效应进行剖析。以380份来自于供应链相关岗位的中高层管理人员及技术人员的问卷作为样本，利用结构方程模型对社会控制、正式控制、信息技术水平、信息共享及供应链绩效之间的相关关系进行实证研究。研究结果表明：（1）社会控制对信息共享及供应链绩效均产生正向影响，信息共享对供应链绩效也产生正向影响；而正式控制则对信息共享产生显著的负向作用关系，且其对供应链绩效的作用关系并不显著；（2）信息共享在社会控制和供应链绩效之间的作用关系中起着部分中介的作用，但其在正式控制-供应链绩效间的中介作用则并不显著；（3）信息技术水平对于社会控制-信息共享和正式控制-信息共享间的关系具有调节效应。     

基于随机产出与随机需求的农产品供应链风险共担合同

本文采用单位价格补贴的风险共担机制,分析了农产品供应链中随机产出和随机需求下供应商-制造商采取不同的风险共担合同对农资投入、供应商、制造商以及整个供应链的利润的影响。文中的风险共担合同包括风险无共担合同、需求风险共担合同、产出风险共担合同、产出-需求风险共担合同,结合算例,结论得出:需求风险分担可以使供应链利润增加;产出风险分担可以增加供应商的利润收益,而赋予制造商控制供应商农资投入积极性的权利;产出-需求共担合同既能增加供应链及各成员的利润收益,同时还使得双方相互制约、相互协调,促使供应链良好发展。最后,结合非线性补贴的风险分担形式对上述合同的有效性进行了验证,研究表明,不同的补贴形式只在量上对决策存在影响,而本质上的结论并没有变化。