论文标题
一个基于模型的多代理框架，以对供应链中断做出敏捷的响应
A Model-based Multi-agent Framework to Enable an Agile Response to Supply Chain Disruptions
论文作者
论文摘要
由于19日的大流行，全球供应链在不确定且未知的劳动力短缺，高材料价格以及不断变化的旅行或贸易法规的趋势下以前所未有的规模中断。为了保持竞争力，企业希望敏捷和动态反应策略快速对中断和恢复供应链功能的反应。尽管已经研究了集中式和多代理方法，但它们的实施需要对中断和基于代理规则的推理的先验知识。在本文中，我们介绍了一个基于模型的多代理框架，该框架使代理商的协调和动态代理决策能够以敏捷有效的方式对供应链破坏做出反应。通过一个小规模的模拟案例研究，我们在几种中断方案下展示了拟议方法的可行性，这些方案对供应链网络的影响有所不同，并分析了拟议的分布式和集中式方法之间的性能权衡。
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.
