DocumentCode :
3241813
Title :
Evaluation of supply chain partnership based on rough set theory
Author :
Chang, Lun-Qian ; Cheng, Guang ; Luo, Chuan-Long ; Ma, Xiao-Fei
Author_Institution :
Coll. of Mech. & Electr. Eng., Beijing Union Univ., Beijing, China
fYear :
2010
fDate :
29-31 Oct. 2010
Firstpage :
1340
Lastpage :
1343
Abstract :
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.
Keywords :
decision making; decision support systems; rough set theory; supply chain management; costs reduction; decision making efficiency; evaluation indexes reduction; partner selection decision support system; refined index system; reliable supply chain partner; rough set theory; supply chain management; Analytical models; Biological system modeling; Ice; Lead; Marketing and sales; Schedules; Silicon; Indicator; Partnership; Rough Set; Supply Chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
Type :
conf
DOI :
10.1109/ICIEEM.2010.5646015
Filename :
5646015
Link To Document :
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