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MACE-SCM: A multi-agent and case-based reasoning collaboration mechanism for supply chain management under supply and demand uncertainties

机译:MACE-SCM:基于多主体和案例的推理协作机制,用于在供需不确定的情况下进行供应链管理

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摘要

The importance of collaboration in the supply chain has led scholars to suggest diverse approaches for problems in the collaboration process. Questions still remain about which method is best when coordinating and sharing information in the presence of various supply and demand uncertainties. Hence, this paper aims to propose an integrated framework based on multi-agent collaboration and case-based reasoning that can resolve various collaboration issues in the supply chain. To show the framework's feasibility, we implemented a prototype system: MACE-SCM. MACE-SCM provides more flexible and extensible solutions to help address emerging uncertainties. The validation results reveal the importance of intensive collaboration for maximum efficiency in the supply chain.
机译:供应链中协作的重要性促使学者们提出了解决协作过程中各种问题的方法。在存在各种供需不确定性的情况下,协调和共享信息时哪种方法最好仍然存在疑问。因此,本文旨在提出一个基于多主体协作和基于案例的推理的集成框架,该框架可以解决供应链中的各种协作问题。为了展示该框架的可行性,我们实现了一个原型系统:MACE-SCM。 MACE-SCM提供了更加灵活和可扩展的解决方案,以帮助解决新出现的不确定性。验证结果表明,加强协作对于最大程度地提高供应链效率至关重要。

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