DocumentCode :
3291821
Title :
Selection of Suppliers Based on Fuzzy Multicriteria Decision Making
Author :
Kong, Feng ; Zhang, Zhiguang ; Liu, Ying
Author_Institution :
Sch. of Bus. & Adm., North China Electr. Power Univ., Beijing
Volume :
5
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
198
Lastpage :
202
Abstract :
Selection of suppliers is the precondition and foundation of supply chain operation. It is an important aspect to choose the best supplier for supply chain management. This paper is aimed to present a fuzzy decision-making approach to deal with the supplier selection problem in supply chain system. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially, some decision-making data is undefined, vague and fuzzy data. In this paper, linguistic values are used to assess weights for Selection of supplier. This paper describes a fuzzy AHP (fuzzy analytic hierarchy process) to determine the weighting of subjective judgments. Then the best supplier can be derived with the grey relation model. The authors further combine the grey relation model based on the concepts of fuzzy distance to evaluate and select the best supplier.
Keywords :
decision making; grey systems; supply chain management; analytic hierarchy process; fuzzy AHP; fuzzy data; fuzzy multicriteria decision making; grey relation model; linguistic values; supplier selection problem; supply chain management; Appropriate technology; Costs; Data analysis; Data envelopment analysis; Decision making; Fuzzy set theory; Fuzzy systems; Logistics; Supply chain management; Supply chains; Selection of suppliers; fuzzy multicriteria decision making; grey relation model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
Type :
conf
DOI :
10.1109/FSKD.2008.52
Filename :
4666522
Link To Document :
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