MACE-SCM: A multi-agent and case-based reasoning collaboration mechanism for supply chain management under supply and demand uncertainties
MACE-SCM: A multi-agent and case-based reasoning collaboration mechanism for supply chain management under supply and demand uncertainties
复制标题
DOI：
10.1016/j.eswa.2006.06.015
复制
发表时间：
2007-10
期刊：
影响因子：
--
通讯作者：
O. Kwon;Ghiyoung P. Im;K. Lee
中科院分区：
文献类型：
--
作者：
O. Kwon;Ghiyoung P. Im;K. Lee
在供应链中的合作的重要性，使学者们提出了不同的方法来解决问题的合作过程中。在存在各种供需不确定性的情况下，哪种方法是协调和分享信息的最佳方法，这一问题仍然存在。因此，本文的目的是提出一个集成框架的基础上，多Agent协作和基于案例的推理，可以解决各种合作问题的供应链。为了证明该框架的可行性，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。验证结果揭示了在供应链中实现最大效率的密集合作的重要性。
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.