DocumentCode
3198781
Title
Heuristic approaches to solve the U-shaped line balancing problem augmented by genetic algorithms
Author
Martinez, Ulises ; Duff, William S.
Author_Institution
Dept. of Mech. Eng., Colorado State Univ., Fort Collins, CO
fYear
2004
fDate
16-16 April 2004
Firstpage
287
Lastpage
293
Abstract
U-shaped production line can be described as a special type of cellular manufacturing used in just-in-time (JIT) and lean manufacturing. The U-line arranges machines around a U-shaped line in the order in which production operations are performed. Operators work inside the U-line. We address the Type 1 U-LBP using heuristic rules adapted from the simple LBP. Then these heuristic approaches are compared with the optimal solutions obtained from the previous published research work. Finally the heuristic rules are used as genes to find optimal or near optimal solutions using a genetic algorithm adapted from the simple LBP genetic algorithm proposed by Ponnam-balam, Aravindan, and Mogilesswar (2000). The results showed that some very simple heuristic rules produced optimal or near optimal solutions. Then with the simple implementation of a genetic algorithm it is possible to some times obtain optimal solutions in the first iteration
Keywords
cellular manufacturing; genetic algorithms; just-in-time; lean production; U-shaped line balancing problem; cellular manufacturing; genetic algorithm; heuristic approach; just-in-time; lean manufacturing; optimal solution; Assembly; Cellular manufacturing; Costs; Educational institutions; Genetic algorithms; Lean production; Marketing and sales; Mechanical engineering; Production systems; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Information Engineering Design Symposium, 2004. Proceedings of the 2004 IEEE
Conference_Location
Charlottesville, VA
Print_ISBN
0-9744559-2-X
Type
conf
DOI
10.1109/SIEDS.2004.239976
Filename
1314693
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