Logistics distribution centers location problem and algorithm under fuzzy environment. (English) Zbl 1119.90003
Summary: Distribution centers location problem is concerned with how to select distribution centers from the potential set so that the total relevant cost is minimized. This paper mainly investigates this problem under fuzzy environment. Consequentially, chance-constrained programming model for the problem is designed and some properties of the model are investigated. Tabu search algorithm, genetic algorithm and fuzzy simulation algorithm are integrated to seek the approximate best solution of the model. A numerical example is also given to show the application of the algorithm.
MSC:
| 90B06 | Transportation, logistics and supply chain management |
| 90C70 | Fuzzy and other nonstochastic uncertainty mathematical programming |
| 90C59 | Approximation methods and heuristics in mathematical programming |
Keywords:
distribution centers location problem; credibility measure; tabu search algorithm; genetic algorithmReferences:
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