Evolutionary approach for solving cell-formation problem in cell manufacturing

被引:23
|
作者
Car, Zlatan [1 ]
Mikac, Tonci [1 ]
机构
[1] Univ Rijeka, Fac Engn, Dept Ind Engn & Management, Rijeka 51000, Croatia
关键词
cellular manufacturing system; cell-formation problem; artificial neural network; genetic algorithm;
D O I
10.1016/j.aei.2006.01.005
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:227 / 232
页数:6
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