Paper Title:
Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory
  Abstract

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. 

  Info
Periodical
Key Engineering Materials (Volumes 447-448)
Edited by
Jianhong Zhao, Masanori Kunieda, Guilin Yang and Xue-Ming Yuan
Pages
326-330
DOI
10.4028/www.scientific.net/KEM.447-448.326
Citation
H. Yamamoto, T. Yamada, "Intelligent AGV Control of Autonomous Decentralized FMS by Oblivion and Memory", Key Engineering Materials, Vols. 447-448, pp. 326-330, 2010
Online since
September 2010
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Price
$32.00
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