DocumentCode
508846
Title
Performance Evaluation of Supply Chain Based on Fuzzy Matter-Element Theory
Author
Tao, Xiaoyan
Author_Institution
Sch. of Econ. & Manage., Zhongyuan Univ. of Technol., Zhengzhou, China
Volume
1
fYear
2009
fDate
26-27 Dec. 2009
Firstpage
549
Lastpage
552
Abstract
Supply chain management is the main model of corporate production, operation and market competition. Performance evaluation of supply chain provides important and strategic guidance for the effective implementation of supply chain management. According to designing principles of performance evaluation index in supply chain, this paper constructed a performance evaluation index system of supply chain. In view of the uncertainty and fuzziness of indexes in evaluating supply chain performance, this paper combined improved entropy method and fuzzy matter-element theory to establish a fuzzy-matter model for evaluating supply chain performance. The weight of index was endowed by improved entropy method in the process of performance evaluation, and this method could avoid the influences of objective factors. The case study indicates that the evaluation method based on fuzzy matter-element model is simple and workable, and provides a new way for the evaluation of supply chain performance.
Keywords
entropy; fuzzy set theory; supply chain management; Euclid approach degree; corporate production; fuzzy matter-element theory; fuzzy-matter model; improved entropy method; performance evaluation index system; supply chain management; Conference management; Costs; Customer service; Entropy; Innovation management; Logistics; Production; Supply chain management; Supply chains; Technology management; Euclid approach degree; entropy method; fuzzy matter-element; performance; supply chain;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-0-7695-3876-1
Type
conf
DOI
10.1109/ICIII.2009.138
Filename
5368062
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