Pregled bibliografske jedinice broj: 274636
Evolutionary approach for solving cell-formation problem in cell manufacturing
Evolutionary approach for solving cell-formation problem in cell manufacturing // Advanced Engineering Informatics, 20 (2006), 3; 227-232 (međunarodna recenzija, članak, znanstveni)
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Naslov
Evolutionary approach for solving cell-formation problem in cell manufacturing
Autori
Car, Zlatan ; Mikac, Tonči
Izvornik
Advanced Engineering Informatics (1474-0346) 20
(2006), 3;
227-232
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
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. Cellular manufacturing (CM) as one of the solutions to this problem, as implementation of Group technology (GT), was proposed. Performance of cellular manufacturing systems depends heavily on the cell structure. In this paper we present and evaluate a novel approach for solving the cell-formation problem based on implementation of a GA, called modified genetic algorithm (MGA). 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
Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus