Title of article :
Evolutionary approach for solving cell-formation problem in cell manufacturing
Author/Authors :
Car، نويسنده , , Zlatan and Mikac، نويسنده , , Tonci Balic-Zunic، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
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.
Keywords :
genetic algorithm , Cellular Manufacturing System , Artificial neural network , Cell-formation problem
Journal title :
ADVANCED ENGINEERING INFORMATICS
Journal title :
ADVANCED ENGINEERING INFORMATICS