两层次广告博弈中供应商的一种批发价协调策略

研究了在包含一个供应商和两个零售商的供应链中的广告博弈协调问题.将该问题构造为一个两层次的博弈:供应商与零售商之间的Stackelberg博弈以及零售商之间的合作博弈.供应商作为整个供应链上的主导者,拥有产品批发价和零售价的决策权,而零售商则通过在当地市场上的广告促销投入来影响需求,进而影响整个供应链的收益.研究发现,供应商可以通过简单地设定适当的批发价来影响零售商的广告促销投入,从而使得整个供应链实现最大收益.     

可替代产品环境下基于数量折扣的供应链协调研究

研究一个供应商和一个零售商基于数量折扣的两种可替代产品供应链协调问题,建立以供应商为主导的可替代产品数量折扣Stackelberg博弈模型,并将数量折扣模型与一体化和非一体化情形作对比,分析产品折扣率和替代率的变化对供应链的影响.研究结果表明虽然整个供应链利润随折扣率和产品可替代程度的增加而增加,但只是增加了处于主导地位供应商的利润,降低了零售商的利润;在实际运营中,供应商需要考虑销售返利或其它转移支付手段将利润一部分转移给零售商来实现基于数量折扣的供应链协调.     

随机需求下供应链协调优化模型

考虑了由一个供应商和多个零售商构成的两级供应链系统,在随机需求下,通过共同补给期进行协调的问题.作为Stackelberg博弈的领导者,供应商给出共同补给期策略,零售商作为跟随者以最优库存策略响应,建立了确定共同补给期和相应价格折扣模型.通过数值实例对该模型进行分析,得出Stackelberg均衡解,达到Pareto最优.     

品牌专营下供应链价格和批量联合最优决策

假定需求是价格的函数,首先研究了非品牌专营下供应链的最优价格决策和最优批量决策,然后研究了品牌专营下供应商、零售商价格和批量的最优决策.建立了供应商优先决策的Stackelberg博弈模型,通过求解得到了该博弈问题均衡解,即得到了供应商控制的品牌产品最优零售价格和零售商控制的最优订货批量.最后将该模型应用于一个实例中,比较了非品牌专营下和品牌专营下最优决策的不同和供应链利润的不同,品牌专营提高了供应链整体的利润以及供应商自身利润占整个供应链利润的比例.     

具有价格粘性的供应链动态模型及其协调策略

本文针对由一个制造商和一个零售商构成的供应链系统,在市场价格具有粘性的情况下,利用动态博弈理论分析了制造商和零售商如何确定其最优的批发价格和产品订购量以实现自身长期利润的最大化。本文首先利用汉密尔顿-雅可比-贝尔曼方程分别求解了供应链系统在Stackelberg博弈下的最优批发价格和最优产品订购数量。然后,利用数值算例说明了该供应链系统协调的必要性。最后,利用数量折扣契约协调了该供应链系统,并证明了协调的有效性。     

零售商资金约束下两级供应链的延期支付与协调策略研究

本文研究了随机需求下两级供应链的延期支付问题，其中供应商作为主导者将首先设置延期支付利率，而受资金约束的零售商作为追随者将根据利率来确定订货量。通过构建Newsvendor模型对供应链各成员的利润进行了分析，并基于Stackelberg博弈研究了两级供应链下的延迟支付策略，得到了零售商的最优订货量及供应商的最优利率。此外，我们还研究了延期支付条件下的供应链协调问题，分别探讨了产品回购契约和收益共享契约下的供应链协调。研究结果表明：只有当供应商设置的利率低于特定阈值时，受资金约束的零售商才会采用延期支付，否则零售商会将全部初始资金用于采购而不采用延期支付；在延期支付条件下，提高利率将导致零售商订货量减少，并且供应商设置的利率不会随零售商的初始资金增大；延期支付只能部分协调供应链，同时在延期支付条件下，通过产品回购契约无法实现供应链的完全协调；在延期支付条件下，存在关于收益占比的帕累托改进区间，使得收益共享契约在该区间内能够实现供应链协调。最后，我们通过数值实验对研究结论进行了验证。     

碳税政策下时变需求依赖库存与价格的供应链协调模型

研究由一个供应商和一个零售组成的二级供应链系统在碳税政策下的协调问题.对于市场需求率为时变函数且依赖于当前库存水平和销售价格的情形,建立分散式和集中式供应链决策模型.比较两种模型得出供应商和零售商合作能够提高供应链的整体利润但是也会产生更多的碳排放.分别利用批发价格契约和两部收费契约协调分散式决策模型得出供应链协调的条件.最后通过数值算例验证理论结果并分析碳税单价对供应链在两部收费契约下实现协调的影响.     

需求与库存水平相关的供应链量折扣协调模型

考虑由一个供应商和一个零售商构成的供应链系统,零售商的市场需求依赖于该产品的库存水平,研究了利用批量折扣实现供应链完美协调的问题.首先,我们得出了在分散式系统下供应链无法实现完美协调,讨论了供需双方的最优决策.其次,作为stackelberg的主导方,供应商提供批量折扣计划,得出了此折扣计划实现系统完美协调的条件,分别给出了实现完美协调和不能实现完美协调时的批量折扣计划.最后分析了需求函数中的参数和产品的成本对实现供应链系统完美协调的影响.     

信用期下时滞变质品供应链库存和定价的Stackelberg均衡策略

在允许缺货和考虑资金机会成本情况下,根据时滞变质品的基本库存模型,分别构建了信用期下供应商为领导者(SL)和零售商为领导者(RL)的Stackelberg博弈模型。通过分析SL和RL下的Stackelberg博弈模型唯一均衡解,得到两个模型中均衡解的解析表达式。最后,根据数值算例分析得出:(1)在SL供应链中信用期并不总使整个供应链协调,然而在RL供应链中信用期的协调效果较好;(2)延长信用期或增加零售价格均能刺激零售商多订货;(3)在两个模型中,零售价格均随变质时刻递增,且整条供应链达到Pareto改进;(4)SL中供应商变动信用期与RL中零售商变动价格相比,SL供应链收益更高;而当信用期和价格固定,其他参数变动时,RL供应链收益更大。     

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。     

一个混合协调分配机制下自私调度问题的社会无序代价分析

自私调度问题是一类应用于互联网和云计算的特殊调度问题.不同于传统调度问题,它的每个工件是一个自私的参与者,可以自主地选择一台机器加工以谋求自身加工费用最小化.针对机器可以自由选择WSPT机制或PS机制的混合协调分配机制自私调度问题,通过设计一个该问题的松弛线性规划,然后写出该线性规划的对偶规划.比较上述两个规划的最优目标值,以及该自私调度问题的最优社会费用和混合Nash均衡解的最差社会费用这四个数值,分析出该自私调度问题的混合社会无序代价为4.     

基于差价补偿策略的斯塔克尔伯格博弈协调优化

以智能产品为研究对象,建立了差价补偿策略下制造商与销售商的博弈模型,分别通过纳什均衡博弈和斯塔克尔伯格博弈协调优化对制造商和销售商的决策行为进行探讨,得到了Nash均衡下制造商与销售商之间交易策略,讨论了斯塔克尔伯格博弈下制造商的最优订购、最优补偿系数和销售商的订购量之间关系,提出了求解在给定补偿系数下斯塔克尔伯格博弈协调优化的近似最优批发价与最优订购量的算法。通过数值实验表明,制造商占优势地位时,差价补偿策略能实现整体供应链的协调优化,提高销售商的订购量以及制造商和销售商的利润,说明差价补偿策略可以有效地改善零供关系。     

供应链买卖双方协调订货模型

供需关系贯穿供应链的整个过程;然而,如何促使非一体化供应链协调问题在实践中是非常重要的.因此,供需双方订货批量的研究是供应链管理的一个重要内容之一.本文以订单方式为背景,针对供应链环境下单个供应商和多个订货商在非合作情况下的订货模型进行讨论,并在此基础上给出了一个改进后的线性价格折扣策略,该策略同时考虑了增量折扣和减量折扣两种情况,同时给出了供需上双方订货的S tackelberg博弈模型.数字实验结果表明该折扣模型对于改善供应链运作协调是相当有效的.     

Almost global convergence to p-dominant equilibrium

A population of players repeatedly plays an n strategy symmetric game. Players update their strategies by sampling the behavior of k opponents and playing a best response to the distribution of strategies in the sample. Suppose the game possesses a -dominant strategy which is initially played by a positive fraction of the population. Then if the population size is large enough, play converges to the -dominant equilibrium with arbitrarily high probability. Received December 1999/Revised version November 2000     

Transfer pricing in a dynamic marketing-operations interface

A transfer price mechanism is proposed to coordinate the strategies of the marketing and operations functional areas operating in a dynamic interface environment in a decentralized firm. Marketing and operations are strategic decision-makers in a differential game, in which marketing has price and advertising and operations has production as control variables, and advertising goodwill and production backlog are state variables. A constant transfer price is entered into the objective functionals for marketing and operations, and subgame perfect feedback strategies are derived for price, advertising, and production as functions of the state variables. The feedback strategies allow a solution for the dynamic system involving goodwill and backlog, and the total payoff to the firm, the sum of the payoffs to marketing and operations, is determined as a function of the transfer price. Finally, for certain parameter conditions an interior maximum of the payoff function is achieved, and the optimal transfer price is identified.     

Evaluating Individual Market Power in Electricity Markets via Agent-Based Simulation

We use agent-based simulation in a coordination game to analyse the possibility of market power abuse in a competitive electricity market. The context of this was a real application to the England and Wales electricity market as part of a Competition Commission Inquiry into whether two particular generators could profitably influence wholesale prices. The research contributions of this paper are both in the areas of market power and market design policy issues for electricity markets, and in the methodological use of large industry-wide evolutionary simulation models.     

供应链契约机制选择研究

基于供应链上下游的定价决策，本文分析了存在单个供应商、多个有差异的伯川德竞争零售商的确定性需求环境下，可供供应商选择的次优关税非协调定价机制以及数量折扣关税、完美协调关税两种协调定价机制特征。并通过算例研究．得出供应商在不同情况下如何作出机制选择。     

Inventory,channel coordination and bargaining in a manufacturer-retailer system

Substantial research literature has been developed over the years on the subject of inventory. The more recent literature has examined the fundamental relationships between inventory control and price theory. A significant portion of this literature assumes the ultimate consumer demand as a constant and characterizes the relationship between a manufacturer and a retailer as a leader-follower problem. A primary assumption in these studies is that the manufacturer, as the leader, exerts almost complete control over the behavior of the retailer. However, in practice, the retailer does exert some control over the manufacturer. This paper develops a framework that integrates inventory control with constant demand and the economic relationship between consumer demand and retail price. Within this framework, the impact of order quantity, wholesale price and retail price on the behavior of both the manufacturer and the retailer is investigated. Furthermore, this paper explores the issues and conclusions that results from coordinating the relationship between the manufacturer and the retailer. Our analyses demonstrate that channel coordination can be achieved by utilizing well-known bargaining models. A numerical example is provided to illustrate our theoretical findings.     

考虑供应商努力水平和风险规避行为的供应链协调机制

利益冲突是影响供应链绩效的重要原因,如何消除供应链冲突、设置合理的协调机制对供应链稳定和可持续发展具有重要的意义.考虑到供应商努力水平和风险规避行为是影响供应链绩效的重要因素,利用博弈论和"均值-方差法",构建一种基于供应商努力水平的主体效用模型,设计了基于增值利润共享的供应链协调机制.结果表明,所设计的机制能够有效地保障供应链主体在利润不受损情形下调动成员合作的积极性与能动性,实现零售商与供应商长期合作和供应链的可持续发展.     

Coordination of a Supply Chain with One-Manufacturer and Two-Retailers Under Demand Promotion and Disruption Management Decisions

Increasingly, customer service, rapid response to customer requirements, and flexibility to handle uncertainties in both demand and supply are becoming strategic differentiators in the marketplace. Organizations that want to achieve these benchmarks require sophisticated approaches to conduct order promising and fulfillment, especially in today’s high-mix low-volume production environment. Motivated by these challenges, the Available-to-Promise (ATP) function has migrated from a set of availability records in a Master Production Schedule (MPS) toward an advanced real-time decision support system to enhance decision responsiveness and quality in Assembly To Order (ATO) or Configuration To Order (CTO) environments. Advanced ATP models and systems must directly link customer orders with various forms of available resources, including both material and production capacity. In this paper, we describe a set of enhancements carried out to adapt previously published mixed-integer-programming (MIP) models to the specific requirements posed by an electronic product supply chain within Toshiba Corporation. This model can provide individual order delivery quantities and due dates, together with production schedules, for a batch of customer orders that arrive within a predefined batching interval. The model considers multi-resource availability including manufacturing orders, production capability and production capacity. In addition, the model also takes into account a variety of realistic order promising issues such as order splitting, model decomposition and resource expediting and de-expediting. We conclude this paper with comparison of our model execution results vs. actual historical performance of systems currently in place.