A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions*
A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions*
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DOI：
10.1109/case49997.2022.9926559
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发表时间：
2022-07
期刊：
影响因子：
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通讯作者：
Mingjie Bi;Gongyu Chen;D. Tilbury;Siqian Shen;K. Barton
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文献类型：
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作者：
Mingjie Bi;Gongyu Chen;D. Tilbury;Siqian Shen;K. Barton
由于COVID-19疫情，全球供应链在劳动力短缺、材料价格高企以及旅行或贸易法规不断变化的不确定和未知趋势下受到前所未有的破坏。为了保持竞争力，企业需要敏捷和动态的响应策略，以快速应对中断并恢复供应链功能。虽然集中式和多代理的方法已经研究，他们的实施需要中断和代理规则为基础的推理的先验知识。在本文中，我们介绍了一个基于模型的多代理框架，使代理协调和动态代理决策，以敏捷和有效的方式应对供应链中断。通过一个小规模的模拟案例研究，我们展示了所提出的方法的可行性，在几个中断的情况下，影响供应链网络不同，并分析性能之间的权衡建议的分布式和集中式的方法。
Due to the COVID-19 pandemic, the global supply chain is disrupted at an unprecedented scale under uncertain and unknown trends of labor shortage, high material prices, and changing travel or trade regulations. To stay competitive, enterprises desire agile and dynamic response strategies to quickly react to disruptions and recover supply-chain functions. Although both centralized and multi-agent approaches have been studied, their implementation requires prior knowledge of disruptions and agent-rule-based reasoning. In this paper, we introduce a model-based multi-agent framework that enables agent coordination and dynamic agent decision-making to respond to supply chain disruptions in an agile and effective manner. Through a small-scale simulated case study, we showcase the feasibility of the proposed approach under several disruption scenarios that affect a supply chain network differently, and analyze performance trade-offs between the proposed distributed and centralized methods.