Development of genetic fuzzy logic controllers for complex production systems

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Development of genetic fuzzy logic controllers for complex production systems

Complex production systems can produce more than one part type. For these systems, production rate and priority of production for each part type is determined by production controllers. In this paper, genetic fuzzy logic control (GFLC) methodology is used to develop two production control architectu...

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Bibliographic Details
Main Authors:	Homayouni, Seyed Mahdi, Tang, Sai Hong, Ismail, Napsiah
Format:	Article
Language:	English
Published:	Elsevier 2009
Online Access:	http://psasir.upm.edu.my/id/eprint/14019/ http://psasir.upm.edu.my/id/eprint/14019/1/Development%20of%20genetic%20fuzzy%20logic%20controllers%20for%20complex%20production%20systems.pdf

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