首页|Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory
Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory
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Trans Tech Publications Ltd
This paper describes a method to control Autonomous decentralized Flexible Manufacturing System (AD-FMS) by using a memory to determine a priority ranking for competing hypotheses. The aim is to increase the reasoning efficiency of a system the author calls reasoning to anticipate the future (RAF) which controls automatic guided vehicles (AGVs) in AD-FMSs. The system includes memory data of past production conditions and AGV actions. The system was applied to an AD-FMS that was constructed on a computer. The results showed that, compared with conventional reasoning, this reasoning system reduced the number of hypothesis replacements until a true hypothesis was reached.
autonomous decentralized systemAGVplanning and schedulingFMS
YAMAMOTO Hidehiko、YAMADA Takayoshi
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Dept. of Human and Information Systems, Faculty of Engineering, Gifu University 1-1, Yanagido, Gifu-shi, Japan