DocumentCode :
596633
Title :
Facility layouts based on intelligent optimization approaches
Author :
Jing Tao ; Peng Wang ; Hong Qiao ; Zhipeng Tang
Author_Institution :
Res. Center of Precision Sensing & Control, Inst. of Autom., Beijing, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
502
Lastpage :
508
Abstract :
Facility layout problem which deals with the placement of facilities in the plant area is one of the most critical problems in manufacturing systems design. However the facility layout problem is one of the combinatorial optimization and nondeterministic polynomial complete problems, and obtaining an optimal solution for the large-sized facility layout problem in reasonable computational time using traditional optimization approaches is extremely difficult. To cope with these problems, many intelligent optimization approaches have been proposed with extensive applicability, high calculation precision and low computational time. This paper presents the status and trends of facility layout problems based on intelligent optimization approaches. Firstly, three mathematical models for the facility layout problem are analyzed in detail. Furthermore, various intelligent optimization approaches and the comparisons are presented. Finally, the trends on future research directions about facility layout problems are surveyed.
Keywords :
combinatorial mathematics; computational complexity; design engineering; facility location; manufacturing systems; optimisation; combinatorial optimization; facility layout; facility placement; intelligent optimization; manufacturing system design; mathematical model; nondeterministic polynomial complete problem; Algorithm design and analysis; Genetic algorithms; Heuristic algorithms; Layout; Market research; Mathematical model; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463215
Filename :
6463215
Link To Document :
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