Automated Guided Vehicle systems (AGVs) are important in modern manufacturing systems. One of the important issues in the design of AGVs is to determine the direction of AGV, which is known as AGV flow path design problem. Though a number of significant research has been conducted on this problem, most of them do not take into consideration the effect of machine layout when designing AGV flow path. In this paper, an integrated technique employing Genetic Algorithm (GA) and Simulated Annealing (SA) to solve AGV flow path design problem is proposed. GA is used to search for AGV flow path direction, while SA is simultaneously used to search for machine layout.
|ジャーナル||Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C|
|出版ステータス||Published - 1998|
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