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New batch construction heuristics to optimise the performance of order picking systems

机译:新的批处理构造启发法可优化订单拣选系统的性能

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摘要

Two new batch construction heuristics called K-means Batching (KMB) and Self-organisation Map Batching (SOMB) are developed and verified by simulation experiments. Both KMB and SOMB have a preferment of superior performance in total travel distance and average picking vehicle utility, and even a conspicuous improvement in total CPU running time. Besides, this paper investigates the overall performance of order picking systems integrating storage assignment, order batching and picker routing to find the optimal policy combinations under different order types. The sensitivity analysis is performed to distinguish the relative importance of the various strategies to enhance the performance of operations management.
机译:通过仿真实验开发并验证了两种新的批处理构造启发式方法,分别称为K-均值批处理(KMB)和自组织图批处理(SOMB)。九巴和SOMB都希望在总行驶距离和平均采摘车辆实用性方面表现出优异的性能,甚至在总CPU运行时间上也有明显的改善。此外,本文研究了集成了存储分配,订单批处理和拣配器路由的订单拣选系统的整体性能,以找到不同订单类型下的最佳策略组合。进行敏感性分析是为了区分各种策略的相对重要性,以增强运营管理的绩效。

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