基于关联网络DEA的供应链协调程度评价

本文给出了一种供应链网络协调程度的评价方法。研究思路是:首先,关联网络DEA能求出供应链网络上各个决策单元的DEA效率。其次,假设供应链网络实现了协调,那么网络上所有企业的DEA效率应该都为1。因此可以用供应链网络的实际DEA效率与协调状态(即所有决策单元DEA效率均为1)的差距,来评价供应链网络的协调程度。基于这一思路,本文研究了一个由3个供应商、2个制造商和3个零售商组成的供应链网络的协调评价问题,构建了基于关联网络DEA的类方差协调评价模型,实现了对供应链效率和协调性的同时测量,并通过数值算例验证了方法的实用性和有效性。     

The efficiency of joint decision making in buyer-supplier relationships

This paper examines the effectiveness of joint decision making within 87 pairs of buyer-supplier relationships in manufacturing. Joint decision making is an important attribute of a more cooperative supply chain relationship that may ultimately result in a better performance. Efficiency is modeled as a multiple criteria problem using Data Envelopment Analysis (DEA). Inputs of five kinds of joint decision making activity are examined relative to two measures of output based on the assessment of the buying firm. Three contingent constructs (product customization and innovation, media richness of the communication between buyer and supplier, and continuity in the relationship) are then examined for their impact on the relative performance of each pair. The implications for the management of supply chain relationships and benchmarking of best practice are then discussed.     

指派问题在供应商选优决策中的应用

通常供应链中供应商选优问题为多指标决策问题,本将此问题视为指派问题。指派问题中的关键是确定“效率”矩阵,本充分利用供应商单排序结果,评价指标权重以及供应商指标评价值构造了“效率”矩阵,建立了供应商综合选优指派问题模型,案例试算表明该方法合理、有效,为多指标方案决策提供了又一种可行的决策方法。     

Mean–variance analysis of a single supplier and retailer supply chain under a returns policy

In the literature, most of the supply chain coordinating policies target at improving the supply chain’s efficiency in terms of expected cost reduction or expected profit improvement. However, optimizing the expected performance alone cannot guarantee that the realized performance measure will fall within a small neighborhood of its expected value when the corresponding variance is high. Moreover, it ignores the risk aversion of supply chain members which may affect the achievability of channel coordination. As a result, we carry out in this paper a mean–variance (MV) analysis of supply chains under a returns policy. We first propose an MV formulation for a single supplier single retailer supply chain with a newsvendor type of product. The objective of each supply chain decision maker is to maximize the expected profit such that the standard deviation of profit is under the decision maker’s control. We study both the cases with centralized and decentralized supply chains. We illustrate how a returns policy can be applied for managing the supply chains to address the issues such as channel coordination and risk control. Extensive numerical studies are conducted and managerial findings are proposed.     

Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach

One of the most complicated decision making problems for managers is the evaluation of supply chain (SC) performance which involves various criteria. Though vast studies have been recorded on supply chain efficiency evaluation via balanced scorecard (BSC) approach, these studies do not focus on the relationships between the four perspectives of BSC approach. The present paper is an attempt focusing on these relationships, especially the returnable ones. To do so, at first, all relationships between the four perspectives of BSC were determined and then the DEMATEL approach was employed to obtain a network structure. This network structure was then used to create a network DEA model. Since it was not possible to calculate the efficiency evaluation score by BSC, the data envelopment analysis (DEA) model was used for such an evaluation. Moreover, after reviewing different tools to evaluate the performance of supply chain, a new approach, relying on network DEA with BSC approach, was generated. Finally, this model was applied in the Iranian food industry to evaluate its supply chains efficiency and the results proved the high efficiency of the model designed. The findings could be used in various evaluation processes in different industries.     

损失规避环境下供应链回扣联合促销决策研究

在由单一供应商和单一损失规避零售商组成的二阶段供应链中,基于Stackelberg博弈模型,研究零售商回扣与订单联合决策以及供应商渠道销量回扣决策,试图揭示分散决策供应链回扣联合促销机制。研究表明,给定供应商实施渠道销量回扣促销,零售商回扣与损失规避呈正向变动关系,而零售商渠道传导率与损失规避的关系依赖于产品获利情况,渠道销量回扣能提高零售商回扣与零售商期望效用;而供应商实施渠道销量回扣促销的意愿与批发价有关,只有当批发价大于某一阈值时,才能促使供应商和零售商实现回扣联合促销;但供应商实施渠道销量回扣总是能提高供应链效率。     

随机需求下供应链商业信用契约协调

研究一个供应商和一个零售商构成的两级供应链面对随机需求时的商业信用契约协调问题。通过分析商业信用对供应商与零售商各自目标利润及供应链的总利润的影响,建立了商业信用契约协调模型,推导了最优信用期和最优订货量,指出通过信用策略可以使双方实现对利润的合理分配与协调。最后通过数值算例说明了所得结论。     

Consignment contracting: Who should control inventory in the supply chain?

Consignment is a popular form of business arrangement where supplier retains ownership of the inventory and gets paid from the retailer based on actual units sold. The popularity of such an arrangement has come with some continued debates on who should control the supply chain inventory, the supplier or retailer. This paper aims at shedding light on these debated issues. We consider a single period supply chain model where a supplier contracts with a retailer. Market demand for the product is price-sensitive and uncertain. The supplier decides his consignment price charged to the retailer for each unit sold, and the retailer then chooses her retail price for selling the product. We study and compare two different consignment arrangements: The first allows the retailer to choose the supply chain inventory, together with her retail price, and is labeled as a Retailer Managed Consignment Inventory (RMCI) program; and the second calls for the supplier to decide the inventory, together with his consignment price, and is labeled as a Vendor Managed Consignment Inventory (VMCI) program. We show that with an RMCI program, the supply chain loses at least 26.4% of its first-best (expected) profit, while with VMCI, it loses just or no more than 26.4% of the first-best profit. Second, we demonstrate that both programs lead to an equal split of the corresponding channel profit between the supplier and the retailer. These results indicate that it is beneficial both to the supplier and to the retailer when delegating the inventory decision to the supplier rather than to the retailer in the channel.     

基于契约和关系治理的供应链质量控制机制设计

本文考虑制造商和供应商共同努力改进产品质量的情况,研究在一个制造商处于领导地位的二级供应链中,如何通过有效的治理机制设计,提高产品质量水平,协调供应链。文章以理想的协同情况为基准,分析了两种治理机制下的质量努力程度,比较了正式契约治理与契约和关系混合治理对供应链效率的影响。结果表明,关系和契约混合治理在有效范围内能够将制造商和供应商紧密地联系起来,通过共同的质量努力获得比正式契约治理下更大的利润,实现供应链协调。     

Production capacity buildup and double marginalization mitigation in a dynamic supply chain

The paper investigates the extent to which capacity investment considerations interact with the double marginalization effect in a simple supply chain governed by a wholesale price contract. To do so, a non-cooperative differential game model is formulated to study the pricing and capacity investment decisions in a supply chain, which consists of a supplier and a manufacturer. In such a game, there are different decision rules—open-loop, closed-loop, feedback—that are available to the supply chain participants, depending on the observability of the current state of the supply chain. While closed-loop and feedback equilibrium strategies involve the observability of other chain member’s production capacity, open-loop equilibrium strategies do not have such requirement. We examine how the supplier and the manufacturer determine, with the different decision rules, their production capacities and pricing policies to maximize their profits over an infinite planning horizon, and determine how the observability of other supply chain’s members’ production capacity affects the magnitude of the double marginalization effect. Our study suggests that the observability of other chain member’s current production capacity entails a lower production efficiency that results in a greater double marginalization effect. This allows us to conclude that observability of other chain member’s current production capacity is associated with a greater double marginalization effect.     

链式网络DEA模型

数据包络分析(DEA)是评价决策单元(DMU)相对有效性的一种工具,现已得到广泛的应用.传统的DEA不考虑系统内部结构,而是将系统作为一个"黑箱"来度量效率.针对多阶段网络结构提出一个新的网络DEA模型—链式网络DEA模型.研究网络决策单元的网络DEA有效性及各个阶段的弱DEA有效性之间的关系,给出了网络DEA有效的充分必要条件.若网络决策单元不是网络DEA有效的,根据模型可以指出系统在哪些阶段是无效的.     

多层级乳品供应链网络均衡问题研究

以乳品供应链网络为研究对象,构建包含原奶供应商、乳品加工企业、乳品分销商、终端消费市场四层决策主体的乳品供应链网络均衡模型。利用均衡理论和变分不等式理论,描述每个决策者的独立行为以及决策者之间相互影响的竞争行为,采用修正投影法求出均衡解,并给出经济解释,通过数值算例验证模型的合理性和正确性。这一均衡模型有助于协调供应链中各成员之间的利益关系,提升乳品供应链整体运作效率,提高乳品行业的竞争力。     

供需不确定条件下考虑双边努力的供应链组合契约设计

本文研究供需同时不确定条件下考虑双边努力的供应链契约设计问题,在一个供应商和一个零售商组成的二级供应链系统中,供应商的努力影响产量的不确定性,零售商的努力影响市场需求的不确定性。首先,利用Stackerberg主从博弈模型计算了分散决策时零售商、供应商的最优期望利润,并将计算结果与集中决策时供应链整体的最优期望利润进行对比。由于双重边际效应的存在,分散决策时供应链的最优期望利润小于集中决策时供应链的最优期望利润。基于此,本文设计了回购和成本分担组合契约来协调该供应链,计算了回购价格和成本分担系数的表达式,得到了回购和成本分担契约下供应商和零售商的最优期望利润。结果表明,在特定条件下,该组合契约不仅可以协调供应链,还可以实现供应链利润的任意分配。最后,通过数值计算,分析了供需双方的决策变量和期望利润随契约参数的变化情况。     

随机需求下有产能约束的技术创新策略研究

在随机需求和技术变革的环境下,基于有产能约束的单供应商-单零售商的供应链结构,研究供应商分销价格决策和技术创新策略以及零售商订货决策。建立了三阶段Stackelberg博弈模型,通过逆推方法求得了供应商最优分销价格和技术创新策略以及零售商最优订货量,深入探讨了供应商产能、新技术出现概率以及市场需求期望与波动分别对供应商、零售商和供应链整体利润的影响。结果表明当供应商产能不足时进行技术创新会提高供应商和供应链的利润,但零售商因间接承担供应商技术创新的投资成本而利润下降;当供应商产能过剩时进行技术创新则会降低供应商及供应链的利润,而零售商的利润增加。新技术出现概率增加会提高供应链各成员的利润;提高市场需求期望并减小市场波动对供应商及供应链有利,但可能会降低零售商的利润。     

Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach

Designing a supply chain network (SCN) is an important issue for organizations in competitive markets. In this paper, a novel robust SCN that considers the efficiencies and costs simultaneously is proposed. In order to estimate the efficiency of the producers and distributors, data envelopment analysis (DEA) model is incorporated into SCN. Moreover, to handle the uncertainty in data, a scenario-based robust optimization approach is applied. The proposed model finds out the efficient location of producers and distributors and determines the amount of purchases from each supplier in uncertain conditions. To illustrate the application of the proposed model, a numerical example is solved and results are analyzed.     

需求不确定下制造商为核心的三级供应链协调

在需求不确定的情境下,研究由单一供应商、制造商和销售商组成的三级供应链系统的协调问题。设计了制造商—销售商采用期权契约,制造商—供应商采用回购契约的联合契约协调机制,分析了集中控制、分散控制和协调机制下供应链系统的最优决策。最后,通过数值算例说明了机制设计的有效性,并对分析结果进行验证。研究结果表明,通过制定合理的契约参数可以使供应链各成员的期望利润相比分散决策时有帕累托改进,从而实现三级供应链系统的协调。     

供应商存在供应风险时供应链融资模式选择研究

在单供应商和单零售商组成的二级供应链中,零售商面临资金约束,有保兑仓融资和延迟支付融资两种途径完成订货货款的交付,在考虑供应风险时,本文研究零售商对融资模式的选择问题。得知在这两种融资途径下,若供应比率期望值在临界值以下,供应商为了协调好供应链状态,多倾向于设置比较恰当的批发价格;因自有营运资金比率(即零售商与供应商的比率)表现为波动性特征,通常在供应风险波动的情况下,供应商为保证自身利润的最大化,可向零售商提供适宜的融资模式。     

预付款融资下期权契约的协调研究

本文研究零售商占主导、供应商自有资金有限的二级供应链如何通过契约实现协调的问题。在预付款融资的基础上加入期权契约方法,构建用于预付款融资的期权契约模型,并求解出该模型下所能协调供应链的契约参数与此时零售商供应商双方的最优决策系统。研究表明当供应商自有资金大于等于某临界值时通过预付款融资下的期权契约可实现供应链协调。若小于则无法通过该契约协调,并且供应商自有资金约束越大,零售商最优订购数量越多,同时供应商的最优生产数量随着自有资金的减少而减少,供应链的参与者及整个供应链的利润也随着供应商自有资金的减少单调递减;另外,相比于无融资下的期权契约,预付款模式能提高零售商、供应商以及整个供应链的收益。     

顾客策略行为下基于联合促销努力的风险规避供应链协调模型

本文在考虑顾客策略行为情形下,利用条件风险度量准则建立了带有联合促销努力供应链协调模型,研究了风险规避对销售商和供应商决策行为的影响,得到了如下研究结论:(1)集中决策情形,价格承诺策略既可以激励供应商提高生产量,还能够有效降低顾客策略行为对其产生的负面影响。(2)分散决策情形,销售商风险规避度增大,销售商的订购量将增加,供应商的销售努力也将增加;供应商风险规避度增大,销售商的订购量将减小,供应商的销售努力也将减小;无论供应商和销售商的风险规避如何变化,销售商的销售努力不变。(3)利用回购和成本分担组成的混合契约可以实现供应链完美协调。     

A dynamic model of supplier switching

While a broad branch of literature deals with the development of buyer–supplier relationships, limited research exists under which circumstances a buyer should terminate such a relationship and switch to a new supplier. Recently, Wagner and Friedl (2007) have developed a framework to analyze a static one-shot supplier switching decision when the buyer has asymmetric information about the supplier’s production costs. We extend their basic framework to a dynamic one, assuming that the supplier learns the production costs over time when he sets up the production process. Since the supplier’s cost information at the individual stages crucially determines the setup and the switching decision, it becomes essential for supply chain management to provide proper incentives so that the supplier reveals his cost information truthfully over time. We characterize the optimal setup and switching strategy as well as the optimal supply chain contract. We also compare our findings with those of the static setting to provide further insights.