Vendor selection problem by using an interactive fuzzy multi-objective approach with modified S-curve membership functions

In this paper, the vendor selection (VS) problem with fuzzy goals is considered. An interactive method is developed for solving multi-objective VS problems where fuzzy data are represented by using S-curve membership functions. The proposed method attempts simultaneously to minimize the total order...

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Veröffentlicht in:Computers & mathematics with applications (1987) Jg. 60; H. 4; S. 1038 - 1048
Hauptverfasser: Díaz-Madroñero, Manuel, Peidro, David, Vasant, Pandian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.08.2010
Schlagworte:
Budgeting
Flexibility
Fuzzy
Fuzzy logic
Fuzzy multi-objective linear programming
Fuzzy set theory
Interactive
Mathematical analysis
Mathematical models
Quotas
S-curve membership function
Supply chain management
Uncertainty
Vendor selection problem
Vendor selection problem
Supply chain management
Uncertainty
Fuzzy multi-objective linear programming
S-curve membership function
ISSN:0898-1221, 1873-7668
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Zusammenfassung:In this paper, the vendor selection (VS) problem with fuzzy goals is considered. An interactive method is developed for solving multi-objective VS problems where fuzzy data are represented by using S-curve membership functions. The proposed method attempts simultaneously to minimize the total order costs, the number of rejected items and the number of late delivered items with reference to several constraints such as meeting buyers’ demand, vendors’ capacity, vendors’ quota flexibility, vendors’ allocated budget, etc. An interactive solution methodology is proposed to solve the multi-objective VS problem and to find a preferred compromise solution. Moreover, the performance of S-curve membership functions that represent uncertainty goals and constraints in VS problems with linear membership functions in an industrial case is compared.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0898-1221
1873-7668
DOI:10.1016/j.camwa.2010.03.060