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Exact and heuristic algorithms for the vehicle routing problem with multiple interdependent time windows

机译:具有多个相互依赖的时间窗的车辆路径问题的精确和启发式算法

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摘要

In this paper a model and several solution procedures for a novel type of vehicle routing problems where time windows for the pickup of perishable goods depend on the dispatching policy used in the solution process are presented. This problem is referred to as Vehicle Routing Problem with multiple interdependent time windows (VRPmiTW) and is motivated by a project carried out with the Austrian Red Cross blood program to assist their logistics department. Several variants of a heuristic constructive procedure as well as a branch-and-bound based algorithm for this problem were developed and implemented. Besides finding the expected reduction in costs when compared with the current procedures of the Austrian Red Cross, the results show that the heuristic algorithms find solutions reasonably close to the optimum in fractions of a second. Another important finding is that increasing the number of pickups at selected customers beyond the theoretical minimum number of pickups yields significantly greater potential for cost reductions.
机译:本文针对新型车辆路径问题提出了模型和几种解决方法,其中易腐货物的提取时间窗口取决于解决过程中使用的调度策略。该问题被称为具有多个相互依赖的时间窗口的车辆路径问题(VRPmiTW),该问题是由奥地利红十字会血液项目为协助其后勤部门实施的一个项目所激发的。启发式构造过程的几种变体以及针对此问题的基于分支定界算法的开发和实现。与奥地利红十字会的当前程序相比,除了找到预期的成本降低之外,结果还表明,启发式算法可以在不到一秒的时间内找到合理接近最佳值的解决方案。另一个重要发现是,将选定客户处的取件数量增加到理论上的最小取件数量以上,可以大大降低成本。

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