Fuzzy integrated decision-making system used to assign service priority for an automatic assembly station

Behzad Foroughi; Robert W. Brennan

doi:10.1117/12.326914

9 October 1998 Fuzzy integrated decision-making system used to assign service priority for an automatic assembly station

Behzad Foroughi, Robert W. Brennan

Author Affiliations +

Proceedings Volume 3517, Intelligent Systems in Design and Manufacturing; (1998) https://doi.org/10.1117/12.326914
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

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Behzad Foroughi and Robert W. Brennan "Fuzzy integrated decision-making system used to assign service priority for an automatic assembly station", Proc. SPIE 3517, Intelligent Systems in Design and Manufacturing, (9 October 1998); https://doi.org/10.1117/12.326914

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