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GENETIC ALGORITHM-BASED SYSTEMS AND METHODS FOR SIMULATING OUTBOUND FLOW

机译:基于遗传算法的出流模拟系统和方法

摘要

Embodiments of the present disclosure include receiving a set of initial solutions including an initial distribution of a plurality of stock keeping units (SKUs) among a plurality of full-filment centers (FCs), and executing a simulation of each solution of the set of initial solutions. It provides a method and system for optimizing the allocation of products, including the step of: A participation rate can be calculated for each solution, and a score for each solution can be determined based on the calculated participation rate. At least one solution with the highest decision score may be selected to provide to the solution algorithm generating one or more additional solutions. Based on the best-performing solution, the allocation of a plurality of SKUs among a plurality of FCs may be changed. The best-performing solution may have the highest decision score among all solutions generated.
机译:本公开的实施例包括:接收一组初始解决方案,该组初始解决方案包括在多个全丝中心(FC)之间的多个库存单位(SKU)的初始分布;以及对该初始组的每个解决方案执行模拟解决方案。它提供了一种优化产品分配的方法和系统,包括以下步骤:可以为每个解决方案计算参与率,并可以基于计算出的参与率确定每个解决方案的得分。可以选择具有最高决策得分的至少一种解决方案,以提供给生成一种或多种其他解决方案的解决方案算法。基于最佳执行方案,可以改变多个FC之间的多个SKU的分配。在所有生成的解决方案中,性能最好的解决方案可能具有最高的决策得分。

著录项

  • 公开/公告号KR20200110107A

    专利类型

  • 公开/公告日2020-09-23

    原文格式PDF

  • 申请/专利权人 쿠팡 주식회사;

    申请/专利号KR20190057675

  • 发明设计人 마 커;구 빈;왕 난;

    申请日2019-05-17

  • 分类号G06Q10/08;G06Q50/28;

  • 国家 KR

  • 入库时间 2022-08-21 11:05:59

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