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Manufacturing flexibility measurement: a fuzzy logic framework

Y. A. Phillis, Tsourveloudis Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/AC4EF71B-307C-470F-963C-221DD981835A-
Identifierhttps://doi.org/10.1109/70.704212-
Languageen-
Extent12 pagesen
TitleManufacturing flexibility measurement: a fuzzy logic frameworken
CreatorY. A. Phillisen
CreatorTsourveloudis Nikolaosen
CreatorΤσουρβελουδης Νικολαοςel
PublisherIEEEen
Content SummaryFlexibility is recognized as an important feature in manufacturing. This paper suggests a knowledge-based methodology for the measurement of manufacturing flexibility. We claim that flexibility is an inherently vague notion and an essential requirement in its measurement is the involvement of human perception and belief. Nine different flexibility types are measured, while the overall flexibility is given as the combined effect of these types. Knowledge is represented via IF (fuzzy antecedents) THEN (fuzzy consequent) rules, which are used to model the functional dependencies between operational characteristics, such as setup time and cost, versatility, part variety, transfer speed, etc. The proposed scheme is illustrated through an exampleen
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-08-
Date of Publication1998-
SubjectManufacturingen
Bibliographic CitationN. C. Tsourveloudis , Y. A. Phillis, 'Manufacturing flexibility measurement: A Fuzzy logic framework', IEEE Trans. on Rob. and Aut., vol. 14, no. 4, pp. 513-524, 1998.doi: 10.1109/70.704212en

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