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基于多代理的供应链协同生产计划模型
引用本文:刘泉,闵慧,王玉松. 基于多代理的供应链协同生产计划模型[J]. 通讯和计算机, 2008, 5(8): 21-24
作者姓名:刘泉  闵慧  王玉松
作者单位:武汉理工大学信息工程学院,武汉430070
基金项目:本文得到科学部国际合作基金项目(项目编号:2006DFA73180)的资助.
摘    要:供应链是由分布在全球的供应商、制造商、仓库、分销中心和零售商组成的复杂网络。其生产计划具有分布性,自治性,同步性和开放性等特点,使得传统的生产计划方法已经不能适应供应链的计划需求。在分析了多代理技术和供应链系统生产计划特点的基础上,采用智能代理封供应链系统的功能实体和物理实体进行封装,提出了一个基于多代理的供应链系统网络模型,并构建了基于多智能代理的生产计划运行模式。该生产计划模型分为三层:全局生产计划,企业内部子生产计划和各个任务的详细生产计划。它突破了传统生产计划的局限性,从全局规划的角度来整合供应链上的所有资源,消除了不同企业子生产计划所产生的冲突和差异。很好的体现了供应链系统信息共享和资源共享的原则。

关 键 词:多代理系统  供应链  生产计划  协同

A collaborative production planning model for multi-agent based supply chain
LIU Quan,MIN Hui,WANG Yu-song. A collaborative production planning model for multi-agent based supply chain[J]. Journal of Communication and Computer, 2008, 5(8): 21-24
Authors:LIU Quan  MIN Hui  WANG Yu-song
Affiliation:LIU Quan, MIN Hui, WANG Yu-song
Abstract:A supply chain (SC) is a world-wide complex network of suppliers, factories, warehouses, distribution centers and retailers. Due to the features of its production planning: distribution, autonomy, synchronism and openness, the traditional methods of production planning have been unable to meet the demands of supply chain production planning. Based on the analysis of multi-agent technology and characteristics of supply chain production planning, an agent-based model of supply chain network is proposed, in which the functional and physical entities of the system are encapsulated by various kinds of agents. Then the multi-agent-based production planning model is established and discussed. As a whole, the model can be divided into three layers: the overall production panning, sub-production planning in enterprise and detailed production planning of tasks. It breaks through the limitations of traditional methods, integrates and uses all the resources in the supply chain from the whole layout view, eliminates conflicts among different enterprises and excellently reflects the information-sharing and resource-sharing principles of supply chain.
Keywords:multi-agent system  supply chain  production planning  collaboration
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