A preemptive fuzzy goal programming model for generalized supplier selection and order allocation with incremental discount
•This paper generalizes the supplier selection and order allocation problem.•A mathematical model for the problem is developed.•A model is solved by an effective preemptive fuzzy goal programming approach.•The proposed method is compared with three other alternatives in the literature. This paper ge...
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| Vydáno v: | Computers & industrial engineering Ročník 122; s. 292 - 302 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.08.2018
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| Témata: | |
| ISSN: | 0360-8352, 1879-0550 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | •This paper generalizes the supplier selection and order allocation problem.•A mathematical model for the problem is developed.•A model is solved by an effective preemptive fuzzy goal programming approach.•The proposed method is compared with three other alternatives in the literature.
This paper generalizes the problem of supplier selection and order allocation with multi-period, multi-product, multi-supplier, multi-objective cases as well as quantity discount subject to budget and capacity limitations for both buyers and suppliers. The objectives are total inventory cost (i.e., delay, holding and shortage, ordering, discounted purchase costs) and value of purchasing. The problem is mathematically formulated by a mixed integer linear programming model. This model is then solved by a preemptive fuzzy goal programming approach. Using a numerical experiment, the proposed model is evaluated for performance against weighted fuzzy goal programming, max-min programming, and classical goal programming approaches. The results show that the proposed model outperforms the others. |
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| ISSN: | 0360-8352 1879-0550 |
| DOI: | 10.1016/j.cie.2018.05.042 |