A Multi-Agent based Decision Framework for Sustainable Supplier Selection, Order Allocation and Routing Problem

M. Drakaki, Hacer Güner Gören, P. Tzionas
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引用次数: 4

Abstract

Supply chain decisions should aim for sustainability, in order to meet the global market needs, as well as the Industry 4.0 requirements, therefore they should consider beyond economic and environmental, societal dimensions as well. The complexity in decision making increases, moreover, supply network relationships become important, including inter-relationships and those developed with the suppliers. Agent technology is compatible with Industry 4.0, whereas multi-agent systems (MAS) can provide decision support for supply chain management and model the relatationships and interactions between entities in the supply chain environment. Therefore, in this paper, a MAS-based framework is proposed to address sustainability focused decision making in supplier selection, order allocation and routing. Fuzzy Multi Criteria Decision Making (MCDM) approaches and multi-objective programming are used by the agents in the MAS in order to adress sustainability requirements. Futrhermore, developed agent services for the supply chain business processes are integrated with web services, in order to facilitate business process execution as web services.
基于多智能体的可持续供应商选择、订单分配和路由问题决策框架
供应链决策应以可持续性为目标,以满足全球市场需求,以及工业4.0的要求,因此他们应该考虑经济、环境、社会层面之外的因素。决策的复杂性增加,此外,供应网络关系变得重要,包括内部关系和与供应商发展的关系。Agent技术与工业4.0兼容,而多Agent系统(MAS)可以为供应链管理提供决策支持,并对供应链环境中实体之间的关系和交互进行建模。因此,本文提出了一个基于mas的框架来解决供应商选择、订单分配和路线选择中的可持续决策问题。在MAS中,agent采用模糊多准则决策(MCDM)方法和多目标规划来满足可持续性要求。此外,为供应链业务流程开发的代理服务与web服务集成,以方便业务流程作为web服务执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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