Two-Stage Inter-Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms

被引:0
|
作者
Xing, Bo [1 ]
Gao, Wen-jing [1 ]
Nelwamondo, Fulufhelo V. [2 ]
Battle, Kimberly [1 ]
Marwala, Tshilidzi [1 ]
机构
[1] Univ Johannesburg, Fac Engn & Built Environm, Auckland Pk, ZA-2006 Johannesburg, South Africa
[2] CSIR, Modelling & Digital Sci Unit, Biometr Res Grp, ZA-0001 Pretoria, South Africa
关键词
cellular manufacturing (CM); cell formation (CF); inter-cell layout (ICL); ant colony optimization (ACO); quadiatic assignment problem (QAP); material handling cost;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Facility layout planning plays an important role in the manufacturing process and seriously impacts a company's profitability A well-planned layout can significantly reduce the total material handling cost The purpose of this paper is to develop a two-stage inter-cell layout optimization approach by using one of the popular meta-heuristics the Ant Colony Optimization algorithm the first stage. the cells are formed based on the part-machine clustering Jesuits obtained through the ant system algorithm In other words. we get the initial inter-cell layout after this stage The work at the second stage uses a hybrid ant system algorithm to improve the solution obtained at previous stage Different performance measures are also employed in this paper to evaluate the results.
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页码:281 / +
页数:2
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