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Vehicle rerouting in the case of unexpectedly high demand in distribution systems

机译:在配送系统需求异常高的情况下进行车辆改路

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Many logistics companies use the same vehicle routes every day when distributing goods to the customers. Unexpectedly high demand in some nodes can cause that one or more of the planned vehicle routes are not feasible any more. In such a situation, the new set of vehicle routes should be generated. We propose in this paper the mathematical formulation of this problem. We also propose the Bee Colony Optimization algorithm and principles of lexicographic optimization to solve the problem. When solving the described problem we tried to minimize the negative consequences of the disturbances caused by the increased customer demand. We tested the proposed concept on the Solomon's benchmark example. The obtained results show that Bee Colony Optimization metaheuristic can find high quality solutions in reasonable CPU time. (C) 2015 Elsevier Ltd. All rights reserved.
机译:许多物流公司每天将货物分发给客户时使用相同的车辆路线。在某些节点中出乎意料的高需求可能会导致一条或多条计划的车辆路线不再可行。在这种情况下,应生成新的一组车辆路线。我们在本文中提出此问题的数学公式。我们还提出了蜂群优化算法和词典优化原理来解决该问题。在解决上述问题时,我们试图将因客户需求增加而引起的干扰的负面影响降至最低。我们在所罗门的基准示例中测试了提出的概念。所得结果表明,Bee Colony Optimization元启发式算法可以在合理的CPU时间内找到高质量的解决方案。 (C)2015 Elsevier Ltd.保留所有权利。

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