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Pregled bibliografske jedinice broj: 274636

Časopis

Autori: Car, Zlatan; Mikac, Tonči
Naslov: Evolutionary approach for solving cell-formation problem in cell manufacturing
Izvornik: Advanced Engineering Informatics (1474-0346) 20 (2006), 3; 227-232
Vrsta rada: članak
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: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Strojarstvo,Temeljne tehničke znanosti
Puni text rada: 274636.Evolutionary_approach_for_solving_cell-formation_problem.pdf
URL Internet adrese: http://www.elsevier.com/locate/aei
URL cjelovitog teksta:
Google Scholar: Evolutionary approach for solving cell-formation problem in cell manufacturing



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