供应链协同生产动力学模型及其复杂性研究  

On a Supply Chain Production Collaboration Dynamic Model and Its Complexity Simulation

作　　者：辛宝贵[1] 马军海[1] 

机构地区：[1]天津大学管理学院,天津300072

出　　处：《组合机床与自动化加工技术》2009年第3期96-100,共5页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家自然科学基金项目(60641006)

摘　　要：文章提出了一个不对称信息条件下的二级供应链协同生产动力学模型,并对该模型中有意义的协同Nash均衡进行了分析,接着对模型产生的Neimark-Sacker逆分岔的方向和不变封闭曲线的稳定性进行了判定,最后做了相应的数值模拟。在不对称信息条件下,不同的协同生产惯性系数对供应链的协同状态影响很大,会产生逆分岔、混沌甚至超混沌等复杂现象,对供应链的发展与绩效会产生很大影响。The paper presents a supply chain production dynamic model under asymmetric information, and analyzes the stability of the Nash equilibrium with economic meaning. Then the direction and stability of the bifurcation is analyzed by computing the first Lyapunov exponent. The corresponding numerical simulations are presented. It shows that the production collaboration inertia coefficient is very important to the supply chain collaborative status in which exist Nash equilibrium, backward bifurcation and chaos phenomena, which influence the performance of the supply chain performance.

关 键 词：供应链协同 不对称信息 Neimark—Sacker逆分岔 供应链吸引子 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] F019.2[自动化与计算机技术—计算机科学与技术]