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Work In process scheduling by evolutionary tuned distributed fuzzy controllers

L. Doitsidis , Tsourveloudis Nikolaos, S. Ioannidis

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URIhttp://purl.tuc.gr/dl/dias/2FD691E9-3E98-441D-97BB-50EA7B3C179A-
Identifierhttps://doi.org/10.1109/ROBOT.2006.1641908-
Languageen-
Extent6 pagesen
TitleWork In process scheduling by evolutionary tuned distributed fuzzy controllersen
CreatorL. Doitsidis en
CreatorTsourveloudis Nikolaosen
CreatorΤσουρβελουδης Νικολαοςel
CreatorS. Ioannidis en
PublisherIEEEen
Content SummaryThis paper presents an evolutionary algorithm (EA) strategy for the optimization of generic work-in-process (WIP) scheduling fuzzy controllers. The EA strategy is used to tune a set of distributed fuzzy control modules that are responsible for WIP scheduling. The objective is to control the production rate in each processing stage in a way that satisfies the demand for final products, while reducing WIP within the production system. The EA identifies the parameters for which a set of fuzzy controllers performs optimal with respect to WIP and backlog minimization. The proposed EA strategy is compared to heuristically tuned distributed fuzzy controllers. Extensive simulation testing shows that the EA strategy significantly improves the 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 Publication2006-
SubjectKid's (Computer program language)en
SubjectKPL (Computer program language)en
Subjectphrogram computer program languageen
Subjectkids computer program languageen
Subjectkpl computer program languageen
Bibliographic CitationN. Tsourveloudis, L. Doitsidis , S. Ioannidis, 'Work In Process Scheduling by Evolutionary Tuned distributed Fuzzy Controllers', in 2006 Inter. Conf. on Rob. and Auto., pp. 1420-1425,doi :10.1109/ROBOT.2006.1641908en

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