DocumentCode
2499787
Title
A fuzzy evaluation approach for partnership selection on the supply chain
Author
Weng, Xiaobin ; Zhou, Gengui ; Chao, Jian
Author_Institution
Inst. of Inf. Intell. & Decision-Making Optimization, Zhejiang Univ. of Technol., Hangzhou
fYear
2008
fDate
25-27 June 2008
Firstpage
8317
Lastpage
8322
Abstract
For years, researchers and practitioners have primarily investigated the various processes and models on supply chain management. Recently, however, there has been increasing attention placed on partnership selection, which represents a new way of managing the business and relationships with other partners on supply chain. Because of the uncertainty of market, it is not always easy for the decision-maker(s) in business to select a proper partner or partners. In this paper, a new fuzzy AHP (analytic hierarchy process) model is proposed to deal with the partnership selection problem, combined with the basic fuzzy set theory. In a sense, it means that the consistent degree of judgments or opinions could be provided by different experts in the process of partnership selection, which is enable for managers to obtain fair and reasonable conclusions. A practical case in Chinese company is introduced and the effectiveness of partnership selection by the proposed method is illustrated on the basis of this model.
Keywords
fuzzy set theory; supply chain management; analytic hierarchy process; fuzzy evaluation; fuzzy set theory; partnership selection; supply chain management; Automation; Chaos; Decision making; Decision theory; Fuzzy control; Fuzzy set theory; Intelligent control; Supply chain management; Supply chains; Uncertainty; Analytic Hierarchy Process; Partnership Selection; Supply Chain Management; Triangular Fuzzy Number;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594231
Filename
4594231
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