The research of Early-warning system of Supplying Chain on Case-Based Reasoning
In this paper, we introduce Case-based reasoning (CBR) to the early-warning system of the supplying chain. In view of the characteristics and requirements of the supplying chain, we improve the processes of the CBR. We also research into such problems as case representation, case retrieval and case adjustment under complex circumstances and information asymmetry. An algorithm of CBR is put forward as well. We try to integrate CBR with other reasoning engine to avoid its disadvantages. This system can solve the problem of decision making after the warning alarm is given and has a great significance of strengthening the ability of supplying chain in resisting risks.
Early-warning Supplying Chain Case-based Reasoning Rule Induction
Wang Xiaowei Song Guofang
School of Management, Shanghai University, Shanghai, P. R. China, 200444
国际会议
郑州
英文
2008-09-20(万方平台首次上网日期,不代表论文的发表时间)