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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| Published in: | Computers & mathematics with applications (1987) Vol. 60; no. 4; pp. 1038 - 1048 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.08.2010
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| ISSN: | 0898-1221, 1873-7668 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Peidro, David Vasant, Pandian Díaz-Madroñero, Manuel |
| Author_xml | – sequence: 1 givenname: Manuel surname: Díaz-Madroñero fullname: Díaz-Madroñero, Manuel email: fcodiama@cigip.upv.es organization: Research Centre on Production Management and Engineering (CIGIP), Universidad Politécnica de Valencia, Spain – sequence: 2 givenname: David surname: Peidro fullname: Peidro, David email: dapeipa@cigip.upv.es organization: Research Centre on Production Management and Engineering (CIGIP), Universidad Politécnica de Valencia, Spain – sequence: 3 givenname: Pandian surname: Vasant fullname: Vasant, Pandian email: pvasant@gmail.com organization: Electrical & Electronic Engineering Department, University Technology Petronas, Malaysia |
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| Keywords | Vendor selection problem Supply chain management Uncertainty Fuzzy multi-objective linear programming S-curve membership function |
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| SubjectTerms | 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 |
| Title | Vendor selection problem by using an interactive fuzzy multi-objective approach with modified S-curve membership functions |
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