DocumentCode
2218360
Title
Research on Multi-row Layout Based on Genetic Algorithm
Author
Na, Zhou ; Kelin, Xu ; Shuang, Guo
Author_Institution
Coll. of Mech. Eng., Tongji Univ. Shanghai, Shanghai, China
Volume
1
fYear
2010
fDate
26-28 Nov. 2010
Firstpage
380
Lastpage
384
Abstract
In modeling of job shop multi-line facility layout problem, the properties of product also impact the logistics cost. To avoid neglecting of these impactions, in this paper, logistics is replaced by the Equivalent Logistics. On the basis of limitation analysis of quadratic assignment problem, an improved genetic algorithm is proposed. And the encoding, reproduction and fitness functions of are well designed of all 3 layouts. At last, a concrete case is carried out to evaluate the pros and cons of three layout strategies. The layout using automatic new row strategy is proved to be the optimal solution. The result shows that the algorithm can provide reference to related study.
Keywords
facilities layout; genetic algorithms; automatic new row strategy; fitness functions; genetic algorithm; job shop multiline facility layout problem; multirow layout; quadratic assignment problem; Matlab; genetic algorithm; multi-row layout;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-8829-2
Type
conf
DOI
10.1109/ICIII.2010.98
Filename
5694427
Link To Document