文献类型：会议论文

英文题名：Evaluation of supply chain partnership based on rough set theory

作者：Chang, Jun-Qian[1]; Cheng, Guang[1]; Luo, Chuan-Long[2]; Ma, Xiao-Fei[1]

第一作者：Chang, Jun-Qian

通讯作者：Chang, J.-Q.

机构：[1] College of Mechanical and Electrical Engineering, Beijing Union University, Beijing, China; [2] China University of Mining and Technology[Beijing], Beijing, China

第一机构：北京联合大学机器人学院

会议论文集：Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

会议日期：29 October 2010 through 31 October 2010

会议地点：Xiamen

语种：英文

外文关键词：Decision making - Decision support systems - Indicators (instruments) - Supply chain management - Supply chains

摘要：After the Era of Economic Crisis, if an enterprise wants to win the advantageous opportunity, it must have reliable supply chain partners. So the research of evaluation on supply chain partners has become hot contents of supply chain management. Based on the history data of some typical enterprises in choosing partners, this paper use rough sets theory to reduce evaluation indexes. Thus we can obtain a more refined index system without influencing decision-making effect. A series of evaluation rules is also be launched as foundation for the enterprise to build intelligentized partner selection decision support system. It can improve the decision-making efficiency and reduce costs. This method has certain practical significance. ? 2010 IEEE.