A logistics model for emergency supply of critical items in the aftermath of a disaster
AbstractThis paper proposes a logistics model for delivery of prioritized items in disaster relief operations. It considers multi-items, multi-vehicles, multi-periods, soft time windows, and a split delivery strategy scenario, and is formulated as a multi-objective integer programming model. To effectively solve this model we limit the number of available tours. Two heuristic approaches are introduced for this purpose. The first approach is based on a genetic algorithm, while the second approach is developed by decomposing the original problem. We compare these two approaches via a computational study. The multi-objective problem is converted to a single-objective problem by the weighted sum method. A case study is presented to illustrate the potential applicability of our model. Also, presented is a comparison of our model with that proposed in a recent paper by Balcik etÂ al. . The results show that our proposed model outperforms theirs in terms of delivering prioritized items over several time periods.
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Bibliographic InfoArticle provided by Elsevier in its journal Socio-Economic Planning Sciences.
Volume (Year): 45 (2011)
Issue (Month): 4 (December)
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Vehicle routing problem Humanitarian logistics Prioritizing delivery Disaster relief;
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