Pregled bibliografske jedinice broj: 186554
Evolutionary approach for solving cell formation problem IN CELL MANUFACTURING
Evolutionary approach for solving cell formation problem IN CELL MANUFACTURING // Proceedings of the 5th International Workshop on Emergent Synthesis / Ueda, Kanji ; Monostori, Laslo ; Markus, Andreas (ur.).
Budimpešta: Computer and Automation Research Institute (SZTAKI), 2004. str. 79-84 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Evolutionary approach for solving cell formation problem IN CELL MANUFACTURING
(Evolutionary approach for solving cell formation problem)
Autori
Mikac, Tonči ; Car, Zlatan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 5th International Workshop on Emergent Synthesis
/ Ueda, Kanji ; Monostori, Laslo ; Markus, Andreas - Budimpešta : Computer and Automation Research Institute (SZTAKI), 2004, 79-84
Skup
5th International Workshop on Emergent Synthesis
Mjesto i datum
Budimpešta, Mađarska, 24.05.2004. - 25.05.2004
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
cellular manufacturing system; cell-formation problem; artificial neural network; genetic algorithm
Sažetak
New environmental characteristics and requirements have challenged manufacturing enterprises to improve the efficiency and productivity of their production activities. As one of the solutions to this problem Cellular Manufacturing (CM) as implementation of Group Technology (GT) was proposed. Performance of cellular manufacturing systems depends heavily on the cell structure. In this paper a novel approach based on implementation of a GA, called modified genetic algorithm (MGA), for solving the cell-formation problem is presented and evaluated. Implementation of the GA in here presented simulation model is based on Emergent Synthesis idea, of top-down problem decomposition and emerging solution from bottom-up feedback.
Izvorni jezik
Engleski
