DocumentCode :
1596469
Title :
Swarm intelligence in cellular manufacturing: application of hybrid ant system to manufacturing cell machine layout problem
Author :
Xing, Bo ; Gao, Wen-Jing ; Nelwamond, Fulufhelo V. ; Battle, Kimberly ; Marwala, Tshilidzi
Author_Institution :
Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
This paper analyzes the intra-cell machine re-layout (ICMRL) problem in the context of cellular manufacturing (CM). The proposed method for ICMRL has two phases. First phase consists of a general cell formation procedure in which the initial machine layout is obtained. In the second phase, we formulate ICMRL as a quadratic assignment problem model. Then an ant inspired swarm intelligence approach is used to develop a set of better solution. Since the automated guided vehicles (AGVs) are commonly used to transport materials between manufacturing cells, the impact of their guide path characteristics on the final machine layout plan is also considered to find an optimal solution.
Keywords :
artificial intelligence; cellular manufacturing; design for manufacture; facilities layout; facility location; quadratic programming; ant inspired swarm intelligence; automated guided vehicles; cellular manufacturing; hybrid ant system; intra-cell machine relayout problem; quadratic assignment problem model; Bridges; Milling; Turning; Vehicles; Welding; Automated Guided Vehicle; Cellular Manufacturing; Hybrid Ant System; Intra-Cell Machine Re-Layout; Quadratic Assignment Problem; Swarm Intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
ISSN :
2154-4824
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
Type :
conf
Filename :
5665687
Link To Document :
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