文章基本信息

标题：Automatic guided vehicles fleet size optimization for flexible manufacturing system by grey wolf optimization algorithm ,
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作者：V. K. Chawla ; Arindam Kumar Chanda ; Surjit Angra 等
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2018
卷号：8
期号：2
页码：79-90
DOI：10.5267/j.msl.2017.12.005
出版社：Growing Science
摘要：Automatic guided vehicle system (AGVs) plays a vital role in material handling operations for a flexible manufacturing system (FMS).Optimum AGVs fleet size selection is one of the most significant decisions in effective design and control of automated material handling system. The fleet size estimation and optimization of AGVs requires an in-depth understanding of the various factors that AGVs in the FMS relies on. In this paper, an investigation for fleet size optimization of AGVs in different layouts of FMS by application of the analytical method and grey wolf optimization algorithm (GWO) is carried out. Layout design is one of the significant factors for optimization of AGV’s fleet size in any FMS. Results yield from analytical and grey wolf optimization algorithm are compared and validated for the different sizes of FMS layouts by computational experiments.
关键词：Automatic Guided Vehicles;Flexible Manufacturing System;Grey wolf optimization algorithm;Fleet Size Optimization