模糊闭环供应链的定价与销售努力决策

从期望利润最大化的角度研究了单周期两级模糊闭环供应链的定价与销售努力最优决策问题。分析了包含一个制造商和一个零售商的闭环供应链中的模糊不确定性及需求依赖于零售价格和零售商销售努力的性质,分别建立了集中式决策模型和零售商主导的Stackelberg 博弈模型并进行了求解。数值算例验证了模型的有效性,结论表明：考虑销售努力时产品的最优零售价格、批发价格分别高于不考虑销售努力情形下的相应价格;考虑销售努力时零售商和系统的最大期望利润分别大于不考虑销售努力情形下的最大期望利润。     

Coordination in a retailer‐dominated supply chain with a risk‐averse manufacturer under marketing dependency

In this paper, a combined contract composed of option and cost sharing is proposed to investigate coordination and risk‐sharing issues of the supply chain consisting of a dominant retailer and a risk‐averse manufacturer. Demand faced by the retailer is stochastic in nature and dependent on marketing effort. We adopt the conditional value‐at‐risk (CVaR) criterion to model risk aversion of the manufacturer, and derive the optimal strategy for each member with a Stackelberg game in which the retailer acts as the leader. It is verified that the combined contract can coordinate the supply chain and achieve Pareto‐improvement. Moreover, the dominant retailer can allocate the system‐wide profit arbitrarily only by option price in the premise of coordination. It is worth mentioning that coordination of the supply chain is reachable only when the manufacturer is low in risk aversion, and the manufacturer's risk aversion is a significant element for contract design and profit allocation.     

风险规避制造商市场入侵策略

针对由风险中性的在位制造商、风险规避的外来制造商和风险中性零售商组成的二级供应链系统,基于Stackelberg博弈理论建立不同市场入侵策略下的决策模型,研究风险规避的外来制造商市场入侵策略选择问题,分析市场入侵和风险规避行为对供应链成员均衡决策的影响.研究发现:当外来制造商通过零售商销售产品时,损害在位制造商的利润,但对零售商有利;当外来制造商通过网络渠道直接向消费者销售产品时,不一定损害在位制造商的利润,存在帕累托改进区域;当外来制造商的风险规避程度较大时,价格战愈发激烈,对自身、在位制造商和零售商都是不利的;外来制造商的市场入侵策略受质量差异程度、风险规避程度、生产成本和直销成本的综合影响;外来制造商选择最优的市场入侵策略时,损害在位制造商的利润,而且供应链系统不能实现帕累托改进.     

不同权力结构下供应链减排策略随机微分博弈

在由单个制造商和单个零售商构成的低碳供应链中,制造商与零售商之间不同的权力结构决定着他们的减排策略与博弈方式.同时,低碳产品商誉与需求受到制造商与零售商减排策略及随机因素的长期动态影响.在不同的权力结构下,对制造商减排努力策略与零售商宣传努力策略进行随机微分博弈分析;在集中式决策基础上,分别构建制造商主导与零售商主导的Stackelberg博弈、无主导Nash博弈模型,求解模型并对结果进行理论分析与数值实验.研究发现:相较于自己作为主导者,对方作为主导者会促使制造商或零售商做出更大的减排努力或宣传努力;与有主导者的供应链相比,无主导者的供应链可能实现更大的低碳产品商誉;制造商作为主导者能够提升低碳产品商誉与需求以及供应链总利润.随机因素促使制造商和零售商分别提高了减排努力和宣传努力以及低碳产品商誉.     

基于回收产品质量水平的闭环供应链渠道选择模型

基于回收努力和回收产品质量水平的考虑,应用Stackelberg博弈模型理论,构建分别由制造商回收、零售 商回收和第三方回收的3种再制造闭环供应链决策模型,考察不同渠道下参与主体最优决策差异和基于回收产品 质量水平的回收渠道选择问题.结果表明,第三方回收为下策均衡,制造商回收或零售商回收取决 于产品再制造成本的节约水平,制造商需衡量其再制造成本,从制造商回收和零售商回收中选择最优的回收渠道.     

The impact of consumer behavior on preannounced pricing for a dual‐channel supply chain

This study discusses a dual‐channel supply chain in which a manufacturer sells a regular‐priced product through dual channels in the normal sales period and only sells overstocked products through the direct channel in the discounted sales period in the presence of strategic consumers. The manufacturer acts as a Stackelberg leader to adopt a preannounced pricing policy. This study first proposes demand functions for a two‐period dual‐channel model by incorporating consumer utility functions. Based on the demand functions, optimal pricing strategies for both manufacturer and retailer are established. The results show that the manufacturer prefers to raise prices in both periods for consumers with a short delivery lead time. However, counterintuitively, the selling prices set by the manufacturer do not decrease as the degree of consumer patience increases. Finally, there is a Pareto zone under a certain condition where both the manufacturer and the retailer in the two‐period dual‐channel model outperform their counterparts in terms of profit in the single‐period dual‐channel model.     

考虑双重低碳宣传补贴的供应链碳减排优化

考虑由一个制造商主导的一个零售商构成的供应链,研究供应链的合作减排及低碳宣传问题,运用斯坦伯格博弈理论分别构建了制造商给予零售商的单一低碳宣传补贴（SS）以及政府给予制造商、制造商给予零售商的双重低碳宣传补贴（DS）的分散决策博弈模型,得到最优的减排水平、低碳宣传努力程度以及低碳宣传成本分摊比例。通过比较分析发现：当政府补贴系数超过一定值时,DS模式下供应链利润、制造商利润、零售商利润、减排水平、低碳宣传努力程度及低碳宣传成本分摊比例均优于SS模式;政府补贴系数的增加、减排难度的降低及零售商的宣传努力成本系数降低会增加制造商、零售商以及供应链利润。最后运用算例验证了模型的有效性。     

Supply chain coordination for a deteriorating item with stock and price‐dependent demand under revenue sharing contract

This paper deals with an integrated single‐manufacturer single‐retailer supply chain model for a single item. The market demand is assumed to be dependent on both the on‐hand stock and price, and the manufacturer and the retailer are in an agreement of lot‐for‐lot policy. The proposed model is developed under the contract that the retailer offers the manufacturer a percentage of revenue (s)he generates by selling a lot. We determine optimal policies for both the centralized and decentralized coordination systems. A comparison of these policies is made with a numerical example. Sensitivity analysis is performed to examine the stability of the solution.     

Supply chain model with price- and trade credit-sensitive demand under two-level permissible delay in payments

This article develops a single-manufacturer and single-retailer supply chain model under two-level permissible delay in payments when the manufacturer follows a lot-for-lot policy in response to the retailer's demand. The manufacturer offers a trade credit period to the retailer with the contract that the retailer must share a fraction of the profit earned during the trade credit period. On the other hand, the retailer provides his customer a partial trade credit which is less than that of the manufacturer. The demand at the retailer is assumed to be dependent on the selling price and the trade credit period offered to the customers. The average net profit of the supply chain is derived and an algorithm for finding the optimal solution is developed. Numerical examples are given to demonstrate the coordination policy of the supply chain and examine the sensitivity of key model-parameters.     

Optimal production lot size and reorder point of a two-stage supply chain while random demand is sensitive with sales teams' initiatives

The paper develops a production-inventory model of a two-stage supply chain consisting of one manufacturer and one retailer to study production lot size/order quantity, reorder point sales teams’ initiatives where demand of the end customers is dependent on random variable and sales teams’ initiatives simultaneously. The manufacturer produces the order quantity of the retailer at one lot in which the procurement cost per unit quantity follows a realistic convex function of production lot size. In the chain, the cost of sales team's initiatives/promotion efforts and wholesale price of the manufacturer are negotiated at the points such that their optimum profits reached nearer to their target profits. This study suggests to the management of firms to determine the optimal order quantity/production quantity, reorder point and sales teams’ initiatives/promotional effort in order to achieve their maximum profits. An analytical method is applied to determine the optimal values of the decision variables. Finally, numerical examples with its graphical presentation and sensitivity analysis of the key parameters are presented to illustrate more insights of the model.     

Co-op advertising and pricing models in manufacturer–retailer supply chains

Cooperative (co-op) advertising plays a significant role in marketing programs in conventional supply chains and makes up the majority of promotional budgets in many product lines for both manufacturers and retailers. Nevertheless, most studies to date on co-op advertising have only assumed that the market demand is only influenced by the advertising level but not in any way by the retail price. That is why our work is concerned with co-op advertising and pricing strategies in distribution channels consisting of a manufacturer and a retailer. Four different models are discussed which are based on three non-cooperative games (i.e., Nash, Stackelberg retailer and Stackelberg manufacturer) and one cooperative game. We identify optimal co-op advertising and pricing strategies for both firms mostly analytically but we have to resort to numerical simulations in one case. Comparisons are then made about various outcomes, especially the profits, for all cases. This leads to consider more specifically the cooperation case in which profits are the highest for both the retailer and the manufacturer, and how they should share the extra joint profit achieved by moving to cooperation. We solve this bargain problem using the Nash bargaining model.     

基于模糊回收价格的逆向供应链定价策略研究

在由单一制造商和单一零售商构成的逆向供应链系统中，回收产品质量的不确定性导致回收价格的不确定性．针对这种不确定性，将回收价格看作三角模糊数，应用模糊理论和博弈理论对回收价格浮动的基准点进行决策，分别得出了两个非合作博弈的均衡解（斯坦克尔伯格均衡和纳什均衡）和一个合作博弈的均衡解（联合定价），并给出了各均衡条件下制造商和零售商各自回收价格的浮动范围．     

Ordering,wholesale pricing and lead-time decisions in a three-stage supply chain under demand uncertainty

This paper develops a game theoretic model of a three-stage supply chain consisting of one retailer, one manufacturer and one subcontractor to study ordering, wholesale pricing and lead-time decisions, where the manufacturer produces a seasonal/perishable product. We explicitly model the effects of the lead-time and the length of selling season on both demand uncertainty and inventory-holding costs. We present the equilibrium outcome of the decentralized supply chain. When the lead-time increases, we find that the retailer increases the order quantity, the manufacturer offers a lower unit-wholesale price and the subcontractor decreases its unit-wholesale price if the manufacturer subcontracts part of the retailer’s order. In the endogenous lead-time setting, we illustrate the effects of some factors such as unit holding cost and capacity on the equilibrium outcome. We find that a higher unit holding cost implies a lower optimal lead-time and order quantity while higher unit-wholesale prices; the basic demand uncertainty increases the optimal lead-time and order quantity while decreases the unit-wholesale prices. The effects of distribution form on equilibrium outcome/profits are investigated by employing a numerical example. The profit loss of decentralization decreases (increases) with the basic demand uncertainty and manufacturer’s capacity (mean demand).     

混合碳政策下制造商低碳转型的技术选择策略

在碳交易和碳税并行的混合碳政策下,考虑由一个制造商和一个零售商组成的供应链系统,通过Stackelberg博弈方法构建供应链系统分散决策模型,确定制造商和零售商的最优减排与定价决策,并基于此分析制造商低碳转型过程中的技术选择策略,探讨低碳产品最优减排率与碳配额和碳税之间的关系,为政府制订政策提供理论依据.研究表明:制造...     

Supply chain financing with advance selling under disruption

We study a financing problem in a supply chain (SC) consisting of one supplier and one buyer under supply disruption. The supplier could face a disruption at its end which could effectively reduce its yield in case of disruption, thereby resulting in supply yield uncertainty. The retailer can finance the supplier using advance selling that can help mitigate the impact of disruption. We model this problem as a Stackelberg game, where the supplier as the leader announces the wholesale price and the retailer responds by deciding its optimal order quantity given stochastic demand and an exogenous fixed retail price. The supplier then commences production and a disruption can happen with a known probability. We assume that under disruption the quantity delivered is a fraction of the initial quantity ordered by the retailer. The retailer loses any unmet demand. We analyze three different scenarios of the Stackelberg game, namely no advance selling with disruption, advance selling without disruption, and advance selling with disruption. Our results indicate that advance selling can be used to mitigate the impact of supply disruption and at the same time could lead to an increase in the overall SC profit.     

Optimal dual-channel supply chain configuration for product categories with different customer preference of online channel

This study addresses the supply chain configuration problem of manufacturer faced with multiple channel choices. We investigate the optimal combination of traditional and online sales channels for different product categories with differing customer preference of the online channel. We have considered three distinct dual-channel supply chain configurations comprising of a manufacturer, a traditional channel and an online channel viz. retailer–e-tailer; company store–e-tailer; and retailer–e-marketplace. As the manufacturer will face a quantity allocation decision between traditional and online channels, the competition is modeled using Cournot model with the manufacturer as the Stackelberg leader. Values of optimal order quantity and price for the different entities have been established. Influence of variation in customer preference of online channel on the optimal policies is also examined. We find that the manufacturer prefers retailer–e-marketplace configuration for products with high customer preference of online channel and company store–e-tailer configuration for products with low customer preference of online channel. In addition, we find that the retailer–e-tailer configuration is dominated by company store–e-tailer and retailer–e-marketplace configuration irrespective of the product’s customer preference of online channel.     

考虑质量控制和损失规避的供应链协调研究

研究质量控制和各成员均损失规避背景下的供应链协调问题,应用损失规避效应函数刻画制造商和零售商的损失规避行为,通过分析比较分散决策和集中决策两种模式下的最优策略,引入批发价格-质量成本分担契约构建供应链协调模型,研究表明,该契约能够使质量控制与损失规避背景下的供应链实现协调.通过算例对损失规避程度、产品合格率和销售价格等参数进行灵敏度分析,揭示了损失规避和质量控制等因素与最优产品质量水平、最优订货量以及供应链效用之间的关系.     

直销渠道选择对供应链成员决策的影响研究

在考虑直销渠道单位产品运作成本和消费者区域性差异特点的情况下,研究了处于主导地位的制造商开通直销渠道的条件,探讨了直销渠道对渠道需求、制造商和零售商的最优定价和利润的影响。结果表明,开通直销渠道不影响制造商的批发价定价,但可以迫使零售商降低零售价格;开通直销渠道使制造商在分散式供应链中和协调式供应链中都能获得更多利润,使零售商利润减少;只有当运作成本和消费者区域性差异都很大时,开通直销渠道对双方都是有利的,实现“双赢”局面。     

零售电商和回收政策对闭环供应链的影响研究

构建第三方回收下的双渠道闭环供应链模型,考虑了三种不同的决策情形来探讨零售电商参与和处理基金政策对供应链中决策、利润、需求和消费者剩余的影响。结果表明：零售电商参与使得传统零售商的产品价格和利润水平降低,制造商可以通过调整对零售电商的批发价格来提高其利润;第三方回收商的回收决策和最优利润不受到零售电商参与的影响,处理基金政策可以有效地提高产品回收数量,但也会使得正向供应链中企业的定价提高;零售电商会蚕食制造商原有的市场份额,但产品总需求量不发生变化。当进一步考虑处理基金政策时,市场总需求量出现下降的趋势;此外,零售电商参与和处理基金政策都会造成供应链中消费者总剩余的减少。     

纵向产品差异的闭环供应链定价策略研究

为了解决闭环供应链中的定价策略问题,根据单一制造商和单一零售商构成的二级闭环供应链系统,应用博弈理论研究新产品与再造品之间存在纵向产品差异时闭环供应链中制造商和零售商的定价策略。得出了一个合作博弈的均衡解（合作决策）和一个非合作博弈（均衡解斯坦克尔伯格）的均衡解（分散决策）,并对两种定价策略作了进一步的比较,得出了一些有价值的结论。