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

被引：82

作者：

Kwon, Ohbyung

Im, Ghi Paul ^{[1
]}

Lee, Kun Chang

机构：

[1] Clark Atlanta Univ, Dept Decis Sci, Atlanta, GA 30314 USA

[2] Kyung Hee Univ, Coll Management & Int Relat, Seoul 449701, South Korea

[3] Sungkyunkwan Univ, Sch Business Adm, Seoul 110745, South Korea

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2007年 / 33卷 / 03期

关键词：

supply chain management; supply chain collaboration; information sharing; multi-agent; case-based reasoning; supply and demand uncertainty; agent-based web service;

D O I：

10.1016/j.eswa.2006.06.015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：690 / 705

页数：16

共 34 条

[1] Acquiring customers' requirements in electronic commerce [J].