Research on risk ranking of participants involved in supply chain network--Applications of a NLP method based on multiplicative and fuzzy preference relations
This article focuses on the issue of participant selection in supply networks risk management. Though there are many ways and applications which are introduced to selection partcipant in viewpoint of risk management, the practical effect of these methods is not considerable full and satisfactory. In this paper, we introduce a nonlinear programming(NLP) method based on multiplicative and fuzzy preference relations to rank the candidates of probable participants in supply networks in viewpoint of risk management. The sound performance of discrimination power, the convience of applications and the relatively accuracy of perception expressions make this method of ranking suitable to participants selection in supply networks risk management. Numberial example and demostration are present at last.
supply networks risk management risk ranking multiplicative preference relations fuzzy preference relations
Huang Yang Zhang Zigang Zhang Hongtao
School of Management Huazhong University ofScience and Technology,HUST Wuhan, China School of Management Huazhong University of Science and Technology,HUST Wuhan, China
国际会议
成都
英文
1-5
2010-04-16(万方平台首次上网日期,不代表论文的发表时间)