JSW 2013 Vol.8(2): 367-374 ISSN: 1796-217X
doi: 10.4304/jsw.8.2.367-374
doi: 10.4304/jsw.8.2.367-374
Analyzing the Effect of Collaborative Cost Management in Supply Chain by Case-Based Reasoning
Jianxi Fu1, Yuanlue Fu2
1Department of Mechanical Engineering, Texas A&M University, TX 77843, USA
2Center for Accounting Studies, Xiamen University, Xiamen, 361005, P.R. China
Abstract—Applying case-based reasoning (CBR) to analyze the effect of collaborative cost management (CCM) in supply chain is a new research topic. This paper illustrates a new method which combining four steps of CCM and procedures of CBR with fuzzy inference model. The method improves the traditional similarity assessment and obtains the most suitable case to solve new problems. Moreover, this study gives a new definition of information set on the CCM problem and emphasizes self-learning in CBR for CCM in order to make the selected case solution more suitable and obtain the more collaborative effect value of CCM.
Index Terms—Collaborative cost management (CCM), multi-agent, case-based reasoning (CBR), supply chain.
2Center for Accounting Studies, Xiamen University, Xiamen, 361005, P.R. China
Abstract—Applying case-based reasoning (CBR) to analyze the effect of collaborative cost management (CCM) in supply chain is a new research topic. This paper illustrates a new method which combining four steps of CCM and procedures of CBR with fuzzy inference model. The method improves the traditional similarity assessment and obtains the most suitable case to solve new problems. Moreover, this study gives a new definition of information set on the CCM problem and emphasizes self-learning in CBR for CCM in order to make the selected case solution more suitable and obtain the more collaborative effect value of CCM.
Index Terms—Collaborative cost management (CCM), multi-agent, case-based reasoning (CBR), supply chain.
Cite: Jianxi Fu, Yuanlue Fu, "Analyzing the Effect of Collaborative Cost Management in Supply Chain by Case-Based Reasoning," Journal of Software vol. 8, no. 2, pp. 367-374, 2013.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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