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A branch-and-cut algorithm for the multi-compartment vehicle routing problem with flexible compartment sizes

机译:具有灵活车厢尺寸的多车厢车辆路径问题的分支切割算法

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摘要

Multi-compartment vehicle routing problems arise in a variety of problem settings in which different product types have to be transported separated from each other. In this paper, a problem variant which occurs in the context of glass waste recycling is considered. In this problem, a set of locations exists, each of which offering a number of containers for the collection of different types of glass waste (e.g. colorless, green, brown glass). In order to pick up the contents from the containers, a fleet of homogeneous disposal vehicles is available. Individually for each disposal vehicle, the capacity can be discretely separated into a limited number of compartments to which different glass waste types are assigned. The objective of the problem is to minimize the total distance to be travelled by the disposal vehicles. For solving this problem to optimality, a branch-and-cut algorithm has been developed and implemented. Extensive numerical experiments have been conducted in order to evaluate the algorithm and to gain insights into the problem structure. The corresponding results show that the algorithm is able to solve instances with up to 50 locations to optimality and that it reduces the computing time by 87% compared to instances from the literature. Additional experiments give managerial insights into the use of different variants of compartments with flexible sizes.
机译:多室车辆路线选择问题出现在各种问题设置中,其中不同的产品类型必须彼此分开地运输。在本文中,考虑了在玻璃废料回收中发生的问题变体。在这个问题中,存在一组位置,每个位置提供多个容器用于收集不同类型的玻璃废料(例如无色,绿色,棕色玻璃)。为了从容器中拾取物品,可以使用大量的均质处置车。对于每种处理车,可以分别将其容量分成有限数量的隔室,在隔室中分配不同的玻璃废料类型。该问题的目的是使处置车辆要行驶的总距离最小化。为了最优地解决这个问题,已经开发并实现了分支剪切算法。为了评估算法并获得对问题结构的深入了解,已经进行了广泛的数值实验。相应的结果表明,该算法能够求解多达50个位置的实例达到最佳状态,与文献中的实例相比,该算法可将计算时间减少87%。额外的实验提供了管理上的见解,可以灵活地使用尺寸不同的隔室。

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