文章基本信息

标题：Genetic Algorithm for Scattered Storage Assignment in Kiva Mobile Fulfillment System
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作者：Mengcheng Guan ; Zhenping Li
期刊名称：American Journal of Operations Research
印刷版ISSN：2160-8830
电子版ISSN：2160-8849
出版年度：2018
卷号：8
期号：6
页码：474-485
DOI：10.4236/ajor.2018.86027
语种：English
出版社：Scientific Research Pub
摘要：Scattered storage means an item can be stored in multiple inventory bins. The scattered storage assignment problem based on association rules in Kiva mobile fulfillment system is investigated, which aims to decide the pods for each item to put on so as to minimize the number of pods to be moved when picking a batch of orders. This problem is formulated into an integer programming model. A genetic algorithm is developed to solve the large-sized problems. Computational experiments and comparison between the scattered storage strategy and random storage strategy are conducted to evaluate the performance of the model and algorithm.
关键词：Scattered Storage AssignmentKiva Mobile Fulfillment SystemAssociation RulesGenetic Algorithm