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A Storage Assignment Method Based on Genetic Algorithm for Electric Power Warehousing System

机译:基于遗传算法的电力仓储系统存储分配方法

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An order storage assignment problem (SAP) is to find an effective way to locate products in a warehouse in order to improve the operational efficiency of warehousing system. Since SAP is an NP-hard problem, many heuristic algorithms have been proposed. We analyzed the influence of product weight on the stability of the shelf, as well as the influence of the frequency of products entering the warehouse and the time required to arrive at the warehouse on the efficiency of the warehousing operation. An optimization model based on shelf stability along with inbound and outbound efficiency was proposed and genetic algorithm is used to solve the model. The validity of the model and its solution method is verified by experiment. The results show that the model can effectively reduce the storage time and increase stability of the shelf.
机译:订单存储分配问题(SAP)是寻找一种有效的方法来定位仓库中的产品,以提高仓储系统的运营效率。由于SAP是一个NP难题,因此提出了许多启发式算法。我们分析了产品重量对货架稳定性的影响,以及产品进入仓库的频率和到达仓库所需时间对仓储操作效率的影响。提出了一种基于货架稳定性,进出效率的优化模型,并采用遗传算法对该模型进行了求解。通过实验验证了该模型及其求解方法的有效性。结果表明,该模型可以有效减少货架时间,提高货架稳定性。

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