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A VNS Approach for Batch Sequencing and Route Planning in Manual Picking System with Time Windows

机译:具有时间窗口手动拣选系统中批量排序和路径规划的VNS方法

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In this paper an order picking and route planning problem is studied. The main objective is to minimize the number of pickers involved in collecting the order pool and the total distance covered by the pickers. Since the problem under study is NP-hard, a variable neighborhood search (VNS) is proposed as a heuristic solution approach. Neighborhood is changed according to VNS scheme employing four tailored structures. Finally, computational tests demonstrate that the proposed VNS algorithm can find good quality solutions for all practical problems examined. The objective values, regarding both the number of pickers employed and the total distance covered by them, are better than the results of genetic algorithm and close to the ones obtained by CPLEX Solver, if it was able to provide a feasible solution.
机译:在本文中,研究了订单拣选和路线规划问题。 主要目的是最大限度地减少收集订单池和拾取器覆盖的总距离所涉及的拾取器数量。 由于研究的问题是NP - 硬,因此提出了一种可变邻域搜索(VNS)作为启发式解决方案方法。 根据采用四种量身定制的结构的VNS方案来改变邻域。 最后,计算测试表明,所提出的VNS算法可以找到所检查的所有实际问题的良好质量解决方案。 关于所用拾取器的数量和由它们所覆盖的总距离的客观值优于遗传算法的结果,并且如果能够提供可行的解决方案,则靠近由CPLEX求解器获得的结果。

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