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A proposal of multiagent based manufacturing / inventory management, and its performance analysis with product cost

基于多智能体的制造/库存管理方案及其与产品成本的性能分析

基本信息

批准号：
17560228
负责人：
KAIHARA Toshiya
金额：
$ 2.11万
依托单位：
Kobe University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-17560228/
关键词：
Production management Inventory management Multi agent Cost evaluation Manufacturing simulation

项目摘要

During the last few years the focus has shifted from factory level to enterprise level due to the increasing global presence of the companies. Supply chain management is now recognized as one of the best means by which enterprises can make instant improvements to their business strategies and operations. This in turn can lead to increase competitive advantages. Solving resource allocation problems in supply chain management with and for distributed computing systems presents particular challenges attributable to the distributed nature of the computation. In a large-scaled supply chain environment, system modules represent independent business units with conflicting and competing resource requirements, and may possess localized information relevant to their tasks. To recognize this independence, we treat the modules as agents, ascribing each of them autonomy to decide how to deploy resources under their control in service of their interests.Market price systems constitute a well-underst … More ood class of mechanisms that under certain conditions provide effective decentralization of decision making with minimal communication overhead. In a market-oriented programming approach to distributed problem solving, the resource allocations for a set of computational agents is derived by computing competitive equilibrium, proposed in Walrasian economics, of an artificial economy. We define the agent activities in terms of resource required and produced, reducing an agent's decision problem to evaluate the tradeoffs of acquiring different resources. These tradeoffs are represented in terms of market prices, which define common scale of value across the various resources. To explore the use of market mechanism for the coordination of distributed planning module in supply chain management, we have developed a prototype environment for specifying and simulating computational markets with multi-echelon structure. It has been confirmed that the proposed algorithm successfully calculates. Pareto optimal solutions in the supply chain resource problem by comparing analytic approach, named fixed-point algorithm. Less

在过去的几年里，由于公司在全球的影响力越来越大，重点已经从工厂层面转移到企业层面。供应链管理现在被认为是企业可以立即改善其业务战略和运营的最佳手段之一。这反过来又可以增加竞争优势。利用分布式计算系统解决供应链管理中的资源分配问题提出了可归因于计算的分布式性质的特定挑战。在大规模供应链环境中，系统模块代表具有冲突和竞争资源需求的独立业务单元，并且可能拥有与其任务相关的本地化信息。为了承认这种独立性，我们将模块视为代理，赋予每个模块自主权，以决定如何部署其控制下的资源，以服务于他们的利益。 ...更多信息良好的机制，在某些条件下提供有效的决策分散与最小的通信开销。在分布式问题解决的面向市场的编程方法中，一组计算代理的资源分配是通过计算瓦尔拉斯经济学中提出的人工经济的竞争均衡来得出的。我们定义的代理活动所需的资源和生产，减少代理的决策问题，以评估获取不同的资源的权衡。这些权衡以市场价格表示，市场价格定义了各种资源的共同价值规模。为了探索利用市场机制协调供应链管理中的分布式计划模块，我们已经开发了一个原型环境，指定和模拟计算市场的多级结构。已证实，所提出的算法成功地计算。通过比较分析法求解供应链资源问题的帕累托最优解，命名为不动点算法。少