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

Authors:
Ohbyung Kwon;Ghi Paul Im;Kun Chang Lee
Affiliations:
College of Management and International Relations, Kyunghee University, Kyonggi 449-701, Korea;Department of Decision Science, Clark Atlanta University, Atlanta 30314, GA, United States;School of Business Administration, Sungkyunkwan University, Seoul 110-745, Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2007

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Abstract

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.