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Proceedings Paper

Fuzzy integrated decision-making system used to assign service priority for an automatic assembly station
Author(s): Behzad Foroughi; Robert W. Brennan
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Paper Abstract

In the complex environment of an automated manufacturing system, decision-making is one of the most important and difficult tasks. This responsibility lies with the manufacturing control system which must be capable of effectively monitoring the state of the manufacturing system and responding appropriately to a rapidly changing environment. The work reported here is motivated by the need to provide accurate information about the manufacturing system that can be used to assist the decision-making process for manufacturing control systems. In order to achieve this goal, an emerging analysis technique, infinitesimal perturbation analysis (IPA), for discrete- event system is used in combination with fuzzy set theory and manufacturing system information to determine relative service priorities for automatic stations in an assembly line. A high-speed assembly line, which is simulated in Arena, is used as a test bed. This model is integrated with C++ code, which is developed for IPA, and fuzzy set theory. The results are reported and compared for different scenarios.

Paper Details

Date Published: 9 October 1998
PDF: 10 pages
Proc. SPIE 3517, Intelligent Systems in Design and Manufacturing, (9 October 1998); doi: 10.1117/12.326914
Show Author Affiliations
Behzad Foroughi, Univ. of Calgary (Canada)
Robert W. Brennan, Univ. of Calgary (Canada)


Published in SPIE Proceedings Vol. 3517:
Intelligent Systems in Design and Manufacturing
Bhaskaran Gopalakrishnan; San Murugesan, Editor(s)

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