A SUPPLY CHAIN PROCESS OPTIMIZATION SYSTEM (SCPOS) AND ITS KNOWLEDGE BASE CONSTRUCTION
Drastic changes in recent business environment have created the necessity for a more efficient and effective supply chain process management. Know ledge-Based systems have an inherent advantage over the traditional ones to solve unstructured and complex problems. Among them, Case-Based Reasoning (CBR) system is popular in the tacit knowledge utilization. Successful practice cases of business process improvement yield valuable knowledge that can be reused. This paper proposes an integrated Know I edge-Based system with CBR techniques. It supports supply chain process modeling, optimizing, simulating and redesign. First, we introduce the functions and architecture of the system. Then the construction of the Knowledge Base is shown to illustrate how to build this CBR system. As the key points, the knowledge representation and case base are discussed to better understand business process. A CBR prototype is provided to demonstrate its reasoning mechanism as well.
supply chain process knowledge base CBR.
Jianyuan Yan Jian Yang Liping An Fan Qin Na Wang
Management Science & Engineering Department Business School, Nankai University, Tianjtn 300071, P. R. China
国际会议
5th International Conference on e-Engineering & Digital Enterprise Technology(第5届e工程及数字企业国际学术会议)
贵阳
英文
254-259
2006-08-16（万方平台首次上网日期，不代表论文的发表时间）