URI | http://purl.tuc.gr/dl/dias/AC4EF71B-307C-470F-963C-221DD981835A | - |
Αναγνωριστικό | https://doi.org/10.1109/70.704212 | - |
Γλώσσα | en | - |
Μέγεθος | 12 pages | en |
Τίτλος | Manufacturing flexibility measurement: a fuzzy logic framework | en |
Δημιουργός | Y. A. Phillis | en |
Δημιουργός | Tsourveloudis Nikolaos | en |
Δημιουργός | Τσουρβελουδης Νικολαος | el |
Εκδότης | IEEE | en |
Περίληψη | Flexibility 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 example | en |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2015-10-08 | - |
Ημερομηνία Δημοσίευσης | 1998 | - |
Θεματική Κατηγορία | Manufacturing | en |
Βιβλιογραφική Αναφορά | N. 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: 10.1109/70.704212 | en |