A fuzzy bi-criteria transportation problem
► This paper studies a fuzzy bi-criteria transportation problem. ► The total delivery time with the highest reliability of delivery is minimized. ► The total profit with the highest degree of customer satisfaction is maximized. ► An algorithm provides us the two aims. In this paper, a fuzzy bi-crite...
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Veröffentlicht in: | Computers & industrial engineering 2011-11, Vol.61 (4), p.947-957 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | ► This paper studies a fuzzy bi-criteria transportation problem. ► The total delivery time with the highest reliability of delivery is minimized. ► The total profit with the highest degree of customer satisfaction is maximized. ► An algorithm provides us the two aims.
In this paper, a fuzzy bi-criteria transportation problem is studied. Here, the model concentrates on two criteria: total delivery time and total profit of transportation. The delivery times on links are fuzzy intervals with increasing linear membership functions, whereas the total delivery time on the network is a fuzzy interval with a decreasing linear membership function. On the other hand, the transporting profits on links are fuzzy intervals with decreasing linear membership functions and the total profit of transportation is a fuzzy number with an increasing linear membership function. Supplies and demands are deterministic numbers. A nonlinear programming model considers the problem using the max–min criterion suggested by Bellman and Zadeh. We show that the problem can be simplified into two bi-level programming problems, which are solved very conveniently. A proposed efficient algorithm based on parametric linear programming solves the bi-level problems. To explain the algorithm two illustrative examples are provided, systematically. |
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ISSN: | 0360-8352 1879-0550 |
DOI: | 10.1016/j.cie.2011.06.007 |