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Optimized fuzzy scheduling of manufacturing systems

Tsourveloudis Nikolaos, L. Doitsidis, N. C. Tsourveloudis

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/2D4897A1-E23D-436C-BBCD-F418A8E96444
Έτος 2005
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά Nikos C. Tsourveloudis, Lefteris Doitsidis, S. Ioannidis .(2005).Optimized fuzzy scheduling of manufacturing systems. Presented at the 2nd International Conference on Informatics, Control, Automation and Robotics (ICINCO ).[online].Available :http://www.robolab.tuc.gr/ASSETS/PAPERS_PDF/PAPERS_2005/OPTIMIZED_FUZZY__SYSTEMS.pdf
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Περίληψη

An Evolutionary Algorithm (EA) strategy for the optimization of generic Work-In-Process (WIP) scheduling fuzzy controllers is presented. The EA is used to tune a set of fuzzy control modules which are used for distributed and supervisory WIP scheduling. The distributed controllers objective is to control the rate in each production stage so that satisfies the demand for final products while reducing WIP within the system. The EA identifies the parameters for which the fuzzy controller performs optimal with respect to WIP and backlog minimization. The proposed strategy is compared to known heuristically tuned fuzzy control approaches. Simulation results show that the EA strategy improves system’s performance.

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