文章基本信息

标题：A memetic algorithm for the integral OBP/OPP problem in a logistics distribution center
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作者：Miguel, F. ; Frutos, M. ; Tohmé, F. 等
期刊名称：Uncertain Supply Chain Management
印刷版ISSN：2291-6822
电子版ISSN：2291-6830
出版年度：2019
卷号：7
期号：2
页码：203-214
DOI：10.5267/j.uscm.2018.10.005
语种：English
出版社：Growing Science
摘要：In this paper, we present a new decision-making tool aimed at improving the efficiency of the operational planning of pick-up processes in logistic distribution centers. It is based on a memetic algorithm (MA) solving both the Order Batching Problem (OBP) and the Order Picking Problem (OPP). The result yields a sequence of simultaneous pick up operations of lots for different clients in a storing facility, satisfying a previously defined distribution plan. The objective is the minimization of the operational cost of the entire process, which is directly proportional to the time spent on different activities involved. The failure to satisfy the conditions, either leads to overstocking, delays in delivery or creates inefficiency costs. The analysis of the results obtained with our algorithmic tool indicates that it has a good performance in comparison with other known algorithms used to solve this kind of problem.
关键词：Order Batching Problem;Order Picking Problem;Optimization;Logistics