A logistics model for delivery of critical items in a disaster relief operation: heuristic approaches†

نویسندگان

  • Yen-Hung Lin
  • Peter A. Rogerson
  • Alan Blatt
  • Marie Flanigan
چکیده

In this paper, a tour-based multi-objective logistics model for optimized scheduling of the delivery of critical items in a disaster relief operation is proposed. Our model considers multi-items, multi-vehicles, multi-periods, and a split delivery scenario in a disaster. Two heuristic approaches are introduced to solve the logistics problem. In the first approach, a genetic algorithm is applied as the tour generator to filter out tours, to reduce the size of the problem. In the second approach, a vehicle assignment heuristic is proposed by decomposing the original multi-vehicle, multi-location problem into several subproblems consisting of only a partial number of clusters in the main problem. Some randomly generated computational experiments are conducted to evaluate the performance of our approaches.

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تاریخ انتشار 2009