Considering time-varying demand of online retail industry, the traditional static storage location assignment is converted into a multistage storage location assignment process based on the idea of gradual and small-step-forward optimization, which can respond to rapid changes in demand by adjusting the storage location of SKUs in the warehouse in real time and dynamically. First, the study formulates the framework dynamic storage location assignment. Then, the adjustment gain model of dynamic storage location assignment is built, and a genetic algorithm is designed to find the final adjustment solution. Finally, the computer program is developed to simulate the whole process. Simulation and data analysis results show that dynamic storage location assignment can effectively improve picking efficiency when the average order size is small and large demand correlation strength. Dynamic storage location assignment simplifies the warehouse operation process by combining the picking operation and storage location assignment into one without changing the picker’s current walking route, which can offer some theoretical guidance for online retail enterprises implementing dynamic storage location assignment.

中文翻译：

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遍历路径法的零件提货系统动态存储位置分配研究

考虑到在线零售行业的时变需求，基于渐进和小步优化的思想，将传统的静态存储位置分配转换为多阶段存储位置分配过程，该过程可以通过调整需求量的变化来响应需求的快速变化。实时，动态地在仓库中存储SKU的存储位置。首先，研究制定了框架动态存储位置分配。然后，建立了动态​​存储位置分配的调整增益模型，并设计了一种遗传算法来寻找最终的调整方案。最后，开发计算机程序以模拟整个过程。仿真和数据分析结果表明，当平均订单量较小且需求相关强度较大时，动态存储位置分配可以有效提高拣货效率。动态仓储位置分配通过将拣货操作和仓储位置分配合二为一，从而简化了仓库的运营过程，而无需改变拣配人员当前的行走路线，这可以为在线零售企业实施动态仓储位置分配提供一些理论指导。