Analysis and Recognition for Industry Characteristics of Emergency in Supply Chain Based on Fuzzy Clustering
To find the industry characteristics of emergency in supply chain and to solve the problem of recognition about that. The paper established causation factor indexes system of emergency in supply chain based on systems analytical method, and at the same time, put forward a industry characteristics recognition model for emergency supply chain based on fuzzy clustering utilizing fuzzy similarity relation, fuzzy equivalence relation and fuzzy equivalence matrix. An empirical analysis is carried out to find the characteristics of IT, chemical, auto, transportation and other 6 industries under supply chain emergency, which indicates that IT, medicine and chemical, transportation, agriculture, steel have similar characteristics of supply chain emergency respectively, and the established model is applicable for solving the problem.
logistics engineering and management emergency in supply chain fuzzy clustering characteristics recognition
XU Lei DONG Qianli LIU Kaizheng
School of economy and management Changan University Xian, China School of automobile Changan University Xian, China
国际会议
西安
英文
430-432
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）