Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming
The aim of this paper is to solve a supplier selection problem under multi-price level and multi-product using interactive two-phase fuzzy multi-objective linear programming (FMOLP) model. The proposed model attempts to simultaneously minimize total purchasing and ordering costs, a number of defecti...
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| Vydáno v: | Applied mathematical modelling Ročník 37; číslo 22; s. 9308 - 9323 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Inc
15.11.2013
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| ISSN: | 0307-904X |
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| Abstract | The aim of this paper is to solve a supplier selection problem under multi-price level and multi-product using interactive two-phase fuzzy multi-objective linear programming (FMOLP) model. The proposed model attempts to simultaneously minimize total purchasing and ordering costs, a number of defective units, and late delivered units ordered from suppliers. The piecewise linear membership functions are applied to represent the decision maker’s fuzzy goals for the supplier selection and order allocation problem, and can be resulted in more flexibility via an interactive decision-making process. To demonstrate effectiveness of the proposed model, results of applying the proposed model are shown by a numerical example. The analytical results show that the proposed approach is effective in uncertain environments and provide a reliable decision tool for integrated multi-objective supplier selection problems. |
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| AbstractList | The aim of this paper is to solve a supplier selection problem under multi-price level and multi-product using interactive two-phase fuzzy multi-objective linear programming (FMOLP) model. The proposed model attempts to simultaneously minimize total purchasing and ordering costs, a number of defective units, and late delivered units ordered from suppliers. The piecewise linear membership functions are applied to represent the decision maker’s fuzzy goals for the supplier selection and order allocation problem, and can be resulted in more flexibility via an interactive decision-making process. To demonstrate effectiveness of the proposed model, results of applying the proposed model are shown by a numerical example. The analytical results show that the proposed approach is effective in uncertain environments and provide a reliable decision tool for integrated multi-objective supplier selection problems. |
| Author | Shakouri, Hamed Nazari-Shirkouhi, Salman Javadi, Babak Keramati, Abbas |
| Author_xml | – sequence: 1 givenname: Salman surname: Nazari-Shirkouhi fullname: Nazari-Shirkouhi, Salman email: snnazari@ut.ac.ir – sequence: 2 givenname: Hamed surname: Shakouri fullname: Shakouri, Hamed – sequence: 3 givenname: Babak surname: Javadi fullname: Javadi, Babak – sequence: 4 givenname: Abbas surname: Keramati fullname: Keramati, Abbas |
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| Keywords | Fuzzy sets Supplier selection Multi-product Multi-price level Multi-objective linear programming |
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| Title | Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming |
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