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Optimized fuzzy scheduling of manufacturing systems

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

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URIhttp://purl.tuc.gr/dl/dias/2D4897A1-E23D-436C-BBCD-F418A8E96444-
Identifierhttp://www.robolab.tuc.gr/ASSETS/PAPERS_PDF/PAPERS_2005/OPTIMIZED_FUZZY__SYSTEMS.pdf-
Languageen-
Extent5 pagesen
TitleOptimized fuzzy scheduling of manufacturing systemsen
CreatorTsourveloudis Nikolaosen
CreatorΤσουρβελουδης Νικολαοςel
CreatorL. Doitsidisen
CreatorN. C. Tsourveloudisen
Content SummaryAn 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.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-07-
Date of Publication2005-
Bibliographic CitationNikos 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.pdfen

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