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Pregled bibliografske jedinice broj: 274636

Evolutionary approach for solving cell-formation problem in cell manufacturing


Car, Zlatan; Mikac, Tonči
Evolutionary approach for solving cell-formation problem in cell manufacturing // Advanced Engineering Informatics, 20 (2006), 3; 227-232 (međunarodna recenzija, članak, znanstveni)


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



POVEZANOST RADA


Ustanove
Tehnički fakultet, Rijeka

Autor s matičnim brojem:
Zlatan Car, (259465)
Tonči Mikac, (167792)

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