基于最优让步均衡协调策略的供应链差价补偿机制研究

制造商为了激励零售商订购更多数量的产品,会在产品零售价下调时提供给零售商一定的补偿,如何制定最优补偿机制是提高供应链收益的关键问题.为此,建立了两阶段销售差价补偿机制下制造商与零售商的博弈模型,分析了纳什均衡解和Stackelberg均衡解下制造商对零售商的差价补偿机制的决策行为,导出了在最优让步均衡策略下差价补偿机制...     

政府奖惩机制下零售商主导的闭环供应链微分博弈策略

本文在考虑政府奖惩机制下,研究零售商主导的闭环供应链中成员的动态均衡策略,其中制造商负责回收再制造,回收率随时间动态变化。分别构建了三种模式下的Stackelberg微分博弈模型:政府不对制造商和零售商实施奖惩机制、政府只对制造商实施奖惩机制以及政府同时对制造商和零售商实施奖惩机制。运用贝尔曼连续型动态规划理论,求解了三种模式下制造商和零售商的决策均衡结果并进行了对比分析,从消费者剩余价值和成员利润的视角证明了政府实施奖惩机制的有效性。最后通过算例对成员均衡策略进行了稳态分析和非稳态分析。研究结果表明:政府的奖惩机制能够正确引导闭环供应链成员做出最优决策,有利于减缓分散决策所带来的双重边际效应,提高消费者剩余价值。零售商分担回收责任会削减政府对制造商回收的激励作用,降低闭环供应链整体利润。相比之下,政府只对制造商实施奖惩机制是最优模式选择,可以同时提高经济和环保双重效益。     

供应中断风险承担策略下供应链产品质量决策

研究由一个制造商和一个零售商构成的二级供应链,引入供应中断风险并通过斯塔克伯格博弈对比分析制造商风险承担策略、零售商风险承担策略以及风险-收益协调策略三种不同的风险承担策略下供应链的产品质量决策及其影响.结果显示:当供应中断损失率较低时,无论采取哪种风险承担策略,供应中断风险损失率上升都会降低制造商的产品质量,影响零售商的销售价格以及市场需求,降低制造商和零售商的利润;制造商风险承担策略会降低产品质量、产品价格、市场需求以及供应链成员绩效;而零售商承担风险策略则有利于提高产品质量和供应链成员绩效;采取风险-收益协调策略能提高产品质量以及供应链成员利润,其程度取决于制造商和零售商的议价能力,制造商的议价能力越强,其产品质量和利润就越高,零售商的利润就越低.比较而言,风险-收益协调策略是最优的.     

基于CVaR风险测度标准的价格补贴策略下的协调研究

基于条件风险值模型(CVaR),探讨了在一个风险中性制造商和一个风险规避零售商组成的制造商领导的斯塔克伯格博弈供应链中,制造商如何与风险规避零售商订立批发价契约以最大化其期望利润的问题。设计了价格补贴的契约协调机制,给出了该机制下风险规避程度对零售商和制造商最优决策的影响。证明了在一定的实施条件下,制造商通过设立价格补贴机制,可改善供应链双方利润与供应链效率。最后,用算例验证了模型和理论分析的可行性。     

企业社会责任下碳减排优化策略与协调机制研究

基于企业社会责任(CSR)的视角,本文研究由生产低碳产品的制造商和零售商组成的二级供应链的最优策略及供应链协调问题。通过构造供应链成员具有社会责任感的效用函数,分析了CSR对各成员的利润和环境的影响。研究发现:制造商和零售商都是通过降低碳排放水平来体现社会责任感;无论制造商有社会责任感还是零售商有社会责任感,供应链的利润都增大;在收益共享-成本分摊合同(RC合同)下协调,可以使制造商和零售商实现双赢(帕累托最优);零售商应该承担更多的社会责任,降低碳排放水平。     

碳交易规制下信息不对称供应链的减排和低碳推广博弈研究

论文在碳交易规制下,研究单一制造商和双零售商组成的供应链减排与低碳推广决策以及零售商对制造商的成本信息分享问题,分析了零售商对制造商分享成本信息的条件,及不同情形下的制造商减排和零售商低碳推广策略。研究发现:零售商的最优低碳推广水平只与自身相关参数有关,零售商只有在自身低碳推广效率足够高时才会与制造商分享信息;制造商最优减排量随消费者低碳意识、碳交易价格、零售商低碳推广效率及其不确定性增大而提高,随零售商之间竞争程度提高而降低;无论零售商是否对制造商分享成本信息,供应链成员的最优利润随零售商之间竞争程度提高而增加,随消费者低碳意识、碳交易价格提高而提高;零售商低碳推广效率的不确定性越大则制造商的最优利润越低,零售商的最优利润越高;仅一家零售商分享成本信息时,制造商无法通过转移支付使另一家零售商与其分享信息。     

保兑仓模式下供应链期末返利契约参数设计

以两阶段资金约束型供应链作为研究对象,以零售商运营资金不足作为前提条件,主要研究保兑仓模式下两级供应链期末返利契约的参数设计问题.首先构建了面向资金约束下银行直接贷款时供应链期末返利契约模型,作为模式比较的基础.然后,定量化建立了保兑仓模式下期末返利契约协调模型,该模型以制造商作为供应链的主导企业,承担全部的经营风险.引入银行作为第三方展开融资业务,以制造商信用作为基础,为零售商提供运营资金.应用Stackelberg博弈模型求解出保兑仓模式下银行、制造商、零售商总体利益最大化下最优的订货量、批发价格以及期末增量单位返利数量值.通过运算发现,在保兑仓模式下,制造商的最优批发价小于直接融资模式下的制造商批发价,由于制造商承担全部风险,致使零售商订货量增加,同时制造商利润上升,从而使整个供应链的利润随之上升.     

搭便车效应下双渠道供应链收益共享契约设计

考虑由一个制造商和一个零售商组成的双渠道供应链,制造商在拥有传统零售渠道的同时自行开辟网络直销渠道,在只存在网络直销渠道搭传统渠道服务便车的情况下,引入服务水平变量,基于两层优化理论建立了Stackalberg博弈模型,给出了制造商和零售商的均衡定价和最优服务水平.基于最优结果,研究了搭便车系数的变化对供应链成员定价及服务水平决策、双渠道需求和利润的影响.研究发现,搭便车现象抑制了零售商提供服务的积极性,降低了市场需求,对制造商和零售商的利润造成了负面影响.基于搭便车现象的负面影响,建立了基于收益共享的协调机制模型,并给出了均衡解存在的条件.数值结果表明,在一定条件下,采用收益共享机制后,零售商提供的服务水平提高了,市场需求扩大了,制造商和零售商的利润得到了改善.     

基于提前订货折扣和延期支付契约的双渠道供应链运作策略研究

在随机需求环境下, 构建了四种不同情形下零售商和双渠道制造商利用契约机制进行竞争的供应链决策模型, 并给出了各情形下供应链成员最优决策和利润。研究发现, 相对于供应链无任何契约情形, 双渠道供应链中各主体均提供契约来增加自身需求和利润的策略并非始终是有效的, 一定条件下供应链各主体利润均受损。当供应链中仅零售商为下游顾客提供提前订货折扣契约, 而制造商不提供任何契约时, 供应链各主体利润均达到最大。因而, 对双渠道制造商来说, 当零售商采用一定契约策略增大其渠道需求并降低制造商网络渠道需求时, 制造商最优的策略并非是采用“敌对”的契约策略来进一步增加自身网络渠道需求, 而是采用“搭便车”策略, 不为下游顾客提供任何契约优惠, 而从零售商渠道获得更多批发收益, 并最终实现自身总收益的最大化。     

碳交易环境下损失厌恶型供应链收益共享协调

针对由风险中性制造商、损失厌恶型零售商组成的二级供应链,建立了零售商效用最大化和制造商利润最大化的优化模型,然后采用收益共享契约对供应链进行协调,最后采用公平熵求解收益共享系数.本文在供应链的各个阶段考虑了碳排放对供应链优化与协调的影响,对碳交易环境下零售商的最优订货量和制造商的最优定价提供了建议.     

Contingent payment auction mechanism in multidimensional procurement auctions

This paper considers the auctioning of an indivisible project among several suppliers who hold private information about their own efficiency type. Both quality and price need to be determined. Different from scoring auctions, we present a new method, i.e., contingent payment auction mechanism (CPAM), which can effectively deal with the optimal procurement strategy in multidimensional procurement auctions. CPAM can implement the optimal mechanism for the buyer and is thus optimal among all possible procurement strategies. CPAM implies that the buyer should first design and announce a contingent payment function that specifies a payment for each possible quality level before the bidding begins. Compared to scoring auctions, CPAM has some advantages. It does not require a special form of scoring rule and can be generalized in a more broad auction formats. Furthermore, it can help us to solve the ex post moral hazard problem. We consider two kinds of CPAM. For the CPAM I is sensitive to different auction formats, we come up with CPAM II which can improve the performance of CPAM I. Broadly speaking, CPAM integrates the idea of dimension reduction from scoring auction into that of incentive contract design from contract theory to solve the problem of ex post moral hazard.     

基于高斯分布的在线采购机制设计及竞争分析

依附于互联网电子商务的在线采购拍卖交易, 对传统的贝叶斯离线拍卖理论提出新的挑战, 因为面对不同时间点的投标, 采购电商必须即可决策出是否中标以及购买价格。鉴于此, 对于诸如石油、煤、粮食等无限可分商品的电子采购, 本文基于投标具有高斯分布特征设计了一种激励相容的在线采购策略, 演绎出在线采购的数学模型, 利用Runge-Kutta数值算法, 通过Matlab编程求解出采购电商在线定价策略的需求曲线及其对应的竞争比, 最后, 利用数值模拟, 将在线采购机制策略与纯竞争分析得到的在线采购策略比较, 结果显示利用了高斯分布信息的在线采购策略的竞争性能由于利用了投标的统计信息而得到了提高。     

基于前景理论的混合不确定情景下在线多属性反向拍卖的赢者确定方法

在线反向拍卖在当今的经济社会发展中扮演越来越重要的角色,其主要应用于采购招标领域。而在实际的采购拍卖中有关商品属性和供应商信息等方面常会存在一定程度的不确定性,且这些不确定性的刻画又存在着多种模糊表述形式,这些都将增加采购方的风险预期和竞标供应商赢者确定的难度。为此,本文基于前景理论及模糊集理论,研究了同时存在精确数、区间数、三角模糊数、梯形模糊数和语义模糊术语五种属性描述方式的在线多属性反向拍卖的赢者确定问题,提出了一种更具一般性的混合不确定情景下的在线多属性反向拍卖赢者(中标者)确定方法。最后,通过数值算例和比较分析验证了本文所提方法的合理性与有效性,并通过稳健性分析进一步说明方法的稳定性和适用性。     

Application of multi-dimensional procurement auction in single-period inventory models

Procurement is one of the major activities in the Manufacturing Resource Planning (MRP II), which is closely coupled with inventory management. Any improvement in this area will have a direct impact on the performance of the entire supply chain. Auction mechanism can be a successful procurement method when there are several potential suppliers available. In this paper, we consider a single-period inventory model when the selection of the supplier is done through a reverse auction with bids consisting of several attributes, namely price, shortage quantity, and lead time. The multi-dimensionality of the bid increases the complexity of the underlying problem creating a need for an approach to determine an approximate optimal target level. This is needed for the initiation of the auction and the procurement process. Monte-Carlo simulation method was used to investigate the performance of the approximation. Simulation results show that the analytical method provides an acceptable approximation for the optimal target inventory level.     

Optimal bidding in auctions of mixed populations of bidders

A mixed population of bidders consists of two asymmetric groups. Members of the first group are game-theoretic players, who maximize their expected profit and incorrectly believe that their opponents act similarly. The second group of bidders adopts an irrational strategy: they either choose their bids randomly following a given probability distribution, in a “naïve” form of bidding, or follow a decision-theoretic approach, maximizing their expected profit under the assumption that all other bids are random. In a sealed bid private-value procurement auction we examine the optimal strategy of a new player, who has perfect knowledge of the structure of the mixed bidder population and enters the auction. The optimal bid of the new bidder is derived when the cost and mark-up follow a uniform distribution in [0, 1]. The effect of the relative size of the group of game-theoretic bidders and the population size on the optimal bid price is established.     

DEA based auctions

We discuss the design of a multi-dimensional procurement mechanism that combines Data Envelopment Analysis (DEA) and auction theory. The mechanism selects an agent to provide a project characterized by multiple attributes. The optimal configuration of the multiple attributes is settled endogenously by trading off the costs to the provider with the benefits to the acquirer. This is done within a context of asymmetric information and strategic behavior as well as possibly correlated costs. The mechanism makes it individually rational and incentive compatible to participate and reveal costs, and the outcome is socially optimal (allocatively efficient).     

Reverse bullwhip effect in pricing

Price variability is one of the major causes of the bullwhip effect. This paper analyzes the impact of procurement price variability in the upstream of a supply chain on the downstream retail prices. Procurement prices may fluctuate over time, for example, when the supply chain players deploy auction type procurement mechanisms, or if the prices are dictated in market exchanges. A game theory framework is used here to model a serial supply chain. Sequential price game scenarios are investigated to show that there is an increase in retail price variability and an amplified reverse bullwhip effect on prices (RBP) under certain demand conditions.     

带有交易费用和持有成本的局内采购管理模型竞争分析

采购管理是企业经营活动的一个重要组成部分,更加有效的采购管理策略可以大大减少采购费用,对于企业的经营业绩非常重要。在现实的经济活动中交易费用和持有成本在企业管理费用中占很大一部分比率,而采购过程影响着交易费用和持有成本。所以在前人研究的基础上,将交易费用和持有成本引入到局内采购管理模型中,使得运用该策略无论以后采购价格如何变化,局内人的采购成本总是对应局外问题最优采购成本的一定比例c之内,并得到c与原模型相同。但是引入交易费用和持有成本后每天的采购量将发生变化,原模型是在不考虑交易费用和持有成本的前提下得得到的每天采购量和最优竞争比,如果考虑到现实经济活动中不可忽略的交易费用和持有成本,仍然按照原模型来确定每天的采购量来采购就不能得到最优竞争比c。所以本文考虑到了交易费用和持有成本,并得到和原模型不同的每天采购量,并求出最优竞争比c。     

考虑即时采购价格的物流服务供应链优化

物流服务市场的不确定性会影响物流服务供应链的服务水平和收益。在考虑随机即时采购价格以及基础物流提供商在正常情况和应急情况下具有不同物流能力投资成本的情形下,引入期权机制研究不确定市场环境下物流服务供应链的优化决策,以提高物流服务供应链柔性和降低市场不确定性带来的风险。构建物流服务供应链的期权契约模型,采用Stackelberg博弈理论和优化算法分析和求得物流服务集成商的最优期权采购和即时采购策略,以及基础物流提供商的最优物流能力投资策略。结果表明即时采购价格将影响基础物流提供商和物流服务集成商的决策。最后通过数值分析研究即时采购价格的不确定程度对物流服务集成商和提供商的优化策略和利润的影响。     

Strategic capability investments and competition for supply contracts

Suppliers often make proactive investments to strategically position themselves to win contracts with a large buyer. Such investments reduce the suppliers’ variable costs of serving the buyer’s demand. We show that an auction mechanism does not always benefit the buyer, the supply chain, or the society. We identify scenarios where the buyer can implement the supply chain and socially optimal solution by committing to a bilateral relationship with fair reimbursement, and forgoing the benefits of competition altogether. We explore the role of commitment by the buyer (to a procurement mechanism) and by the suppliers (to an investment level) by analyzing different timing games under symmetric and asymmetric information about suppliers’ types. We show that it never benefits anyone for the suppliers to commit first. Equilibrium investments and cost structures depend upon the buyer’s bargaining power (opportunity cost). However, the winning supplier’s investments are almost always below the supply chain optimal level.