A fuzzy programming approach for vendor selection problem in a supply chain

Vendor selection problem (VSP) has been treated in this paper as a “fuzzy Multi-objective Integer Programming Vendor Selection Problem” (f-MIP_VSP) formulation that incorporates the three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic...

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Veröffentlicht in:International journal of production economics Jg. 101; H. 2; S. 273 - 285
Hauptverfasser: Kumar, Manoj, Vrat, Prem, Shankar, Ravi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 01.06.2006
Elsevier
Elsevier Sequoia S.A
Schriftenreihe:International Journal of Production Economics
Schlagworte:
Decision making
Fuzzy logic
Fuzzy programming
Integer programming
Mathematical models
Multiple criteria decision
Studies
Supply chain
Supply chains
Vendor selection problem
Supply chain
Vendor selection problem
Fuzzy programming
Multiple criteria decision
ISSN:0925-5273, 1873-7579
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Zusammenfassung:Vendor selection problem (VSP) has been treated in this paper as a “fuzzy Multi-objective Integer Programming Vendor Selection Problem” (f-MIP_VSP) formulation that incorporates the three important goals: cost-minimization, quality-maximization and maximization of on-time-delivery-with the realistic constraints such as meeting the buyers’ demand, vendors’ capacity, vendors’ quota flexibility, etc. In the proposed model, various input parameters have been treated as vague with a linear membership function of fuzzy type. It is tested on a data set adopted from a case company. The approach provides a decision tool that facilitates the vendor selection and their quota allocation under different degrees of information vagueness in the decision parameters of a supply chain modeling.
Bibliographie:SourceType-Scholarly Journals-1
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ISSN:0925-5273
1873-7579
DOI:10.1016/j.ijpe.2005.01.005