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Manufacturing flexibility measurement: a fuzzy logic framework

Y. A. Phillis, Tsourveloudis Nikolaos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/AC4EF71B-307C-470F-963C-221DD981835A-
Αναγνωριστικόhttps://doi.org/10.1109/70.704212-
Γλώσσαen-
Μέγεθος12 pagesen
ΤίτλοςManufacturing flexibility measurement: a fuzzy logic frameworken
ΔημιουργόςY. A. Phillisen
ΔημιουργόςTsourveloudis Nikolaosen
ΔημιουργόςΤσουρβελουδης Νικολαοςel
ΕκδότηςIEEEen
ΠερίληψηFlexibility 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-08-
Ημερομηνία Δημοσίευσης1998-
Θεματική ΚατηγορίαManufacturingen
Βιβλιογραφική ΑναφοράN. 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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