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Work-in-process scheduling by evolutionary tuned fuzzy controllers

S. Ioannidis, L. Doitsidis, Tsourveloudis Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/A9189DD3-B039-42AE-B107-8CBD01243CA9-
Αναγνωριστικόhttps://doi.org/10.1007/s00170-006-0636-x-
Γλώσσαen-
Μέγεθος13 pagesen
ΤίτλοςWork-in-process scheduling by evolutionary tuned fuzzy controllersen
ΔημιουργόςS. Ioannidisen
Δημιουργός L. Doitsidisen
ΔημιουργόςTsourveloudis Nikolaosen
ΔημιουργόςΤσουρβελουδης Νικολαοςel
ΕκδότηςSpringer Verlagen
ΠερίληψηIn this paper, an evolutionary algorithm (EA) strategy for the optimization of generic work-in-process (WIP) scheduling fuzzy controllers is presented. The EA strategy is used to tune a set of fuzzy control modules that are used for distributed and supervisory WIP scheduling. The distributed controllers objective is to control the rate in each production stage in a way that satisfies the demand for final products while reducing WIP within the production system. The EA identifies those sets of parameters for which the fuzzy controller performs optimal with respect to WIP and backlog minimization. The proposed EA strategy is compared with known heuristically tuned distributed and supervised fuzzy control approaches. Extensive simulation results show that the EA strategy significantly improves the system’s performance.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-07-
Ημερομηνία Δημοσίευσης2007-
Θεματική ΚατηγορίαGreek mathematicsen
Θεματική Κατηγορίαmathematics greeken
Θεματική Κατηγορίαgreek mathematicsen
Βιβλιογραφική ΑναφοράN. Tsourveloudis, L. Doitsidis , S. Ioannidis, 'Work-in-process scheduling by evolutionary tuned fuzzy controllers', Inter. J. of Adv. Manuf. Technology , vol. 34, no. 7-8, pp. 748-761, 2007.doi :10.1007/s00170-006-0636-x en

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