具有风险厌恶零售商的供应链合作博弈分析

论文考虑由一个制造商与一个零售商组成的两层供应链,零售商以条件在险价值(CVaR)作为其风险衡量,制造商为风险中性,制造商与零售商通过讨价还价机制决定批发价格以及订货量。研究结果表明,在零售商为风险厌恶的决策者而制造商为风险中性的决策者时,供应链成同的合作博弈存在均衡的批发价格以及订货量。研究还发现零售商对供应链利润的讨价还价能力随着其风险厌恶程度的增大而增加。     

机会损失最小化报童模型中的订购决策研究

结合条件风险值(conditional value-at-risk,CVaR)准则对机会损失最小化报童模型中零售商的订购决策进行研究.研究结果表明:当订购过量损失大于订购不足损失时,零售商基于CVaR机会损失最小化的订购量小于期望机会损失最小化的订购量,且随着零售商对风险厌恶程度的增加而减少;反之,当订购过量损失小于订购不足损失时,零售商基于CVaR机会损失最小化的订购量大于期望机会损失最小化的订购量,且随着零售商对风险厌恶程度的增加而增加;随着零售商对风险规避程度的增加,零售商基于CVaR机会损失最小化的订购量所对应的期望利润和期望机会损失分别减少和增加,即低风险意味着低收益,高收益伴随着高风险.     

基于M-CVaR的供应链收益共享契约协调研究

基于收益共享契约能有效改善供应链运作效率且实践中不仅存在风险中性、厌恶型,还存在风险喜好型供应链成员。运用均值-条件风险价值统一度量决策者的风险喜好、中性及厌恶水平,并据此研究考虑决策者风险偏好水平的供应链收益共享契约协调问题。首先建立零售商及供应链整体的均值-条件风险价值模型;然后研究考虑决策者风险偏好水平的供应链收益共享契约协调问题;最后讨论供应链成员的风险偏好水平对最优订购量及最优批发价格的影响,并通过数值算例进行验证。结果表明产品的最优批发价格随着零售商悲观系数的增大而减小,随着供应商悲观系数的增大而增大,而最优订购量随着零售商悲观系数的增大而减小,亦随着供应商悲观系数的增大而减小。因此,设计供应链收益共享契约时应考虑成员的风险偏好水平。     

基于条件风险值准则的供应链回购契约协调策略

研究了由具有风险偏好的零售商和风险中性的供应商组成的两级供应链回购契约协调问题.针对具有风险偏好的零售商,考虑了风险中性、风险厌恶和风险喜好三种态度,建立了由风险厌恶程度和悲观系数两个参数描述的基于条件风险值(CVaR)的集成目标决策函数.推导了不同风险偏好态度下的零售商最优订货决策,分析了不同风险偏好参数下的零售商订货决策变化情况.给出了能够完全协调风险偏好零售商和风险中性供应商的供应链回购契约协调机制.最后,进行了数值计算,验证了设计的供应链回购契约协调策略的有效性.结果表明,在给出的回购契约协调机制下,考虑风险偏好情况下的零售商最优订货决策能够保证整个供应链系统实现最优绩效,而供应链成员期望利润却随不同的风险偏好参数而不同.     

供应链金融三方风险控制的CVaR决策分析——基于预付账款融资模式

研究基于预付账款融资模式下的供应链金融三方决策问题,采用CVaR的风险度量准则作为决策标准,建立了随机需求下的单个风险规避零售商、单个风险规避制造商及单个风险规避银行组成的供应链金融风险模型.在权衡收益和风险的基础上,得出零售商的最优订购量、制造商的最优批发价格及银行的最优利率.研究以零售商是否存在违约为前提,通过对三方收益的分析,在考虑风险规避水平的同时,求解出最优订购量、批发价格和利率,并研究它们之间的关系.最后,通过Matlab数值仿真验证预付账款模式下CVaR模型的合理性.     

CVaR准则下的双层报童问题模型研究

本文以供应商为领导层,零售商为从属层。基于CVaR(Conditional Value-at- Risk)准则,建立了两个双层报童问题模型.对于零售商,在兼顾其利润收益的同时,使用了CVaR风险计量方法对其风险进行了有效监控.然后根据模型中下层规划的特点及已有结论将双层规划模型转换成单层规划进行求解,数值计算结果表明模型是有意义的.     

基于CVaR和期末二次订购的供应链协调模型

运用条件风险值CVaR度量准则,考察了两生产模式下风险规避且有促销努力的零售商和风险中性制造商的回购契约协调问题。讨论了供应链各成员的策略分析和如何利用回购契约协调供应链,然后分析了延期供给率、零售商风险规避系数和回购价格、两生产模式下的不同批发价格等参数对供应链各成员决策的影响。研究发现引入成本分担机制的回购契约能否协调供应链与零售商的风险规避程度有关。最后通过数值仿真验证了文中的主要结论,并得出一些管理启示。     

基于M-CVaR和生产资金约束的供应链协调研究

本文针对供应商面临生产资金约束的情况,在需求随机条件下研究了由一个风险中性零售商和一个具有风险偏好的供应商组成的二级供应链的协调问题。文章在零售商享有批发价折扣的提前支付和供应商银行信贷两种融资方式下,分别建立了零售商的最优决策模型以及基于M-CVaR测度工具的供应链整体订购决策模型,并给出了采用两种不同融资模式时零售商和供应链整体的最优订购量以及供应链的协调条件,分析了供应商的风险偏好对供应链整体最优决策及协调条件的影响。最后通过算例验证了文章的主要结论。研究表明,当提前支付价格折扣大于临界值时,零售商会选择提前支付货款;提前支付模式下供应链整体的最优订购量大于银行信贷模式;随着供应商的风险偏好由风险规避向风险喜好转变,供应链整体的最优订购量逐渐增大。     

资金约束下基于CVaR的供应链协调性研究与融资策略选择

在零售商的资金约束下,供应商愿意提供贸易信用融资或者信用担保下的银行贷款。在考虑双方均为风险规避型的情况下采用CVaR风险度量方法建立了双方以及供应链的风险收益值模型,给出了两种融资模式下的供应链协调条件,最优订货量以及批发价格,并且研究了银行贷款利率对供应链协调以及供应商融资方式选择的影响。结果表明实现供应链协调的条件取决于生产成本、银行利率以及双方的风险规避程度,不同的银行利率会导致实现供应链协调的条件不同,供应商将根据双方风险规避程度选择提供给零售商的融资方式。     

基于回购契约的风险厌恶零售商的供应链协调

研究了由风险中性的供应商和风险厌恶的零售商组成的二级供应链协调问题.零售商的风险厌恶由CVaR来度量,研究表明：零售商的风险厌恶加剧了双重边际效应,恶化了供应链效益.为了实现供应链的协调,供应商提出回购契约以减轻零售商的风险顾虑引导其增加订货量,结果表明：当零售商的风险厌恶超过了一定的程度,回购契约不能实现供应链协调;当供应链可以通过回购契约实现协调时,供应链的协调利益可以在供应商和零售商之间进行任意的分配,具体的分配结果取决于他们的讨价还价能力.     

期末二次订购下风险规避且促销的收益共享契约协调研究

在期末二次订购下,利用CVaR准则考察收益共享下销售商风险规避且促销的决策问题,并得到一些有意义的管理启示。讨论了风险中性制造商在两生产模式下的生产决策。探讨了收益共享措施的协调问题,分析了各参数的关系,获得如下启示:销售商越是风险规避,首次订购量越少;制造商的首次生产量不一定是首次订购量,在有二次订货情况下可以投机生产来获得额外利润;在收益共享措施下,批发价固定,要风险态度不同的销售商订购等量的商品,风险规避度大的销售商,分享收益的比例小;如果制造商想要收益共享比例增大,那么首次批发价就要降低。     

Launching new products through exclusive sales channels

When launching a new product, a manufacturer usually sells it through competing retailers under non-exclusive arrangements. Recently, many new products (cellphones, electronics, toys, etc.) are sold through a single sales channel via an exclusive arrangement. In this paper we present two separate models that examine these two arrangements. Each model is based on a Stackelberg game in which the manufacturer acts as the leader by setting the wholesale price and the retailers act as the followers by choosing their retail prices. For each model, we solve the Stackelberg game by determining the manufacturer’s optimal wholesale price and each retailer’s optimal retail price in equilibrium. Then we examine the conditions under which the manufacturer should sell the new product through an exclusive retailer. In addition, we examine the impact of postponing the wholesale price decision and the impact of demand uncertainty on the manufacturer’s optimal profit under both arrangements.     

Volume discount pricing strategy in the VMI supply chain with price sensitive demand

This paper develops a volume discount scheme to coordinate Vendor Managed Inventory (VMI) supply chains with multiple heterogeneous retailers, in which the supply chain is modelled as a Stackelberg game with price sensitive demand. The paper proposes a method to construct a volume discount price scheme and shows that, any volume discount can be represented as a piecewise constant function of demand. We provide the game formulations of VMI supply chains and develop algorithms to solve this type of game problems, including finding the optimal volume discount scheme. Through a numerical study comparing the results of applying a volume discount strategy with the profits from a single wholesale price strategy, we show that the volume discount pricing strategies can be used to improve profits for all participants in the VMI supply chain in comparison with single price strategies.     

The role of retailer’s performance in optimal wholesale price discount policies

The main goal of this paper is to model the effects of wholesale price control on manufacturer’s profit, taking explicitly into account the retailer’s sales motivation and performance. We consider a stylized distribution channel where a manufacturer sells a single kind of good to a single retailer. Wholesale price discounts are assumed to increase the retailer’s motivation thus improving sales. We study the manufacturer’s profit maximization problem as an optimal control model where the manufacturer’s control is the discount on wholesale price and retailer’s motivation is one of the state variables. In particular in the paper we prove that an increasing discount policy is optimal for the manufacturer when the retailer is not efficient while efficient retailers may require to decrease the trade discounts at the end of the selling period. Computational experiments point out how the discount on wholesale price passed by the retailer to the market (pass-through) influences the optimal profit of the manufacturer.     

多因素干扰下的供应链最优定价与订货决策

在信息不对称条件下,市场需求、价格和风险厌恶等因素同时干扰时,构建数量折扣契约的供应链博弈模型,寻找其实现供应链协调的内在约束条件。根据显示原理,构建信息不对称条件下多因素干扰的CVaR模型并求解,然后用算例仿真,结果表明:供应商隐瞒生产成本信息会带来额外收益,但给零售商造成额外损失。价格随机与零售商厌恶风险的耦合作用是导致供应链上各决策变量发生分岔现象的内因,与信息是否对称无关。但信息不对称会损害供应链系统的稳定性。在分岔突变区域内供应链失调,在区域之外供应链协调。零售商风险中性的态度和提高信息透明度有利于提高整个供应链的绩效。     

Managing a retail-competition distribution channel with incentive policies

In reality, the multi-retailer channel of distribution has occurred in many industries, such as electronics, appliances, and apparel. The practice of the supplier providing incentives to retailers to promote sales is also quite prevalent in today’s business. This paper considers a two-retailer supply chain in which the supplier provides a cash discount to a specific retailer (a senior company owning more market share and having less pressure on the utilization of capital investment) and a credit period to another (a junior company owning less market share and having more pressure on the utilization of capital investment). The end demand for each channel has a substitute effect in terms of retail prices. The research problem originates from operations of dual-retailer channels in the automotive parts and accessories industry. The objective of the supplier is to determine the cash discount and credit period to maximize his profit. Both retailers determine pricing and ordering policies to maximize profits. This paper applies a Supplier Stackelberg framework to obtain equilibrium solutions for every entity. Numerical analysis is conducted to discuss the influence retailer competition has on the decision behaviors of the supplier and retailers.     

Demand disruption and coordination of the supply chain with a dominant retailer

This paper develops two coordination models of a supply chain consisting of one manufacturer, one dominant retailer and multiple fringe retailers to investigate how to coordinate the supply chain after demand disruption. We consider two coordination schedules, linear quantity discount schedule and Groves wholesale price schedule. We find that, under the linear quantity discount schedule, the manufacturer only needs to adjust the maximum variable wholesale price after demand disruption. For each case of the disrupted amount of demand, the higher the market share of the dominant retailer, the lower its average wholesale price and the subsidy will be under the linear quantity discount schedule, while the higher its fraction of the supply chain’s profit will be under Groves wholesale price schedule. When the increased amount of demand is very large and production cost is sufficiently low, linear quantity discount schedule is better for the manufacturer. However, when the production cost is sufficiently large, Groves wholesale price schedule is always better. We also find that the disrupted amount of demand largely affects the allocation of the supply chain’s profit.     

A manufacturer's optimal quantity discount strategy and return policy through game-theoretic approach

This study generalised the traditional quantity discount problem with return contracts, in which a manufacturer promises to refund some fraction of the retailer's wholesale price if an item is returned, as a two-stage game. In the first stage the manufacturer and retailer determine the inventory level cooperatively. In the second stage, the manufacturer bargains with the retailer for quantity discount and return schemes to maintain channel efficiency. A menu of discount–return combinations is proposed for the manufacturer to make inventory decisions. The model developed will demonstrate that the return policy can be considered as mirror images of quantity discount strategy. That is, options with more generous return privileges are coupled with higher wholesale prices, whereas the lowest wholesale price comes with very strict limits on returns and a restocking fee for any returned goods.     

Nash game model for optimizing market strategies,configuration of platform products in a Vendor Managed Inventory (VMI) supply chain for a product family

This paper discusses how a manufacturer and its retailers interact with each other to optimize their product marketing strategies, platform product configuration and inventory policies in a VMI (Vendor Managed Inventory) supply chain. The manufacturer procures raw materials from multiple suppliers to produce a family of products sold to multiple retailers. Multiple types of products are substitutable each other to end customers. The manufacturer makes its decision on raw materials’ procurement, platform product configuration, product replenishment policies to retailers with VMI, price discount rate, and advertising investment to maximize its profit. Retailers in turn consider the optimal local advertising investments and retail prices to maximize their profits. This problem is modeled as a dual simultaneous non-cooperative game (as a dual Nash game) model with two sub-games. One is between the retailers serving in competing retail markets and the other is between the manufacturer and the retailers. This paper combines analytical, iterative and GA (genetic algorithm) methods to develop a game solution algorithm to find the Nash equilibrium. A numerical example is conducted to test the proposed model and algorithm, and gain managerial implications.     

面向制造商资金约束的绿色供应链融资策略研究

考虑了生产绿色产品供应链中,由于制造商由于加大绿色产品投入而面临资金约束时,零售商是否应该参与融资的问题。分别研究了在分散决策和集中决策下,存在资金约束的制造商采用预付款融资策略和银行贷款融资策略对供应链中企业最优决策的影响。给出了不同融资策略下,制造商和零售商的最佳决策。研究表明,在制造商存在资金约束的绿色产品供应链中,在集中决策和分散决策的情况下,零售商都应该采取提前付款折扣为0的融资策略参与制造商融资。同时,对于生产绿色产品的供应链,零售商应对制造商采取激励措施,促使制造商进行绿色技术创新生产绿色度更高的产品,从而扩大市场提高竞争力。最后,应用数值模拟对结论进行进一步验证。