Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory
2010 ◽
Vol 447-448
◽
pp. 326-330
◽
Keyword(s):
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.
2018 ◽
Vol 100
(3)
◽
pp. 401-410
◽
2013 ◽
Vol 313-314
◽
pp. 1357-1361
2019 ◽
Vol 41
(10)
◽
2014 ◽
Vol 693
◽
pp. 3-8
◽