DocumentCode :
1668718
Title :
Buffer Size Decision for the Flexible Transfer Line with Rework Paths Using Genetic Algorithms
Author :
Abu Qudeiri, Jaber E. ; Jamali, Mohamed Anouar ; Yamamoto, Hidehiko
Author_Institution :
Intelligent Manuf. Syst. Lab., Gifu Univ.
Volume :
1
fYear :
2006
Firstpage :
210
Lastpage :
215
Abstract :
The buffer size decision for the flexible transfer line (FTL) gains more and more importance because of growing FTL complexity and production costs. The buffer size in front of the bay of machines in the FTL is still one of the major optimization problems faced by production engineers. In this paper, we attempt to find the near optimal buffer size for flexible transfer line with rework paths (FTLRP) that achieves the best throughput of the FTLRP. A genetic algorithm (GA) was applied to find buffer size of FTLRP. For the performance evaluation of the FTL, a novel aggregation technique proposed by Jingshan (2004), is used to find the throughput of the FTLRP at a given buffer size. In order to achieve the efficient use of the GA, multiple vectors distribution method (MVDM) is used for the genes arrangement. An application example was developed and after a number of operations based on GA, the sizes of all buffers for the FTLRP could be found
Keywords :
genetic algorithms; manufacturing systems; production planning; vectors; genes arrangement; genetic algorithm; multiple vector distribution method; optimal buffer size decision; optimization problem; production costs; production engineering; rework path flexible transfer line gain; Costs; Genetic algorithms; Genetic engineering; Intelligent manufacturing systems; Laboratories; Production systems; Search methods; Size measurement; System performance; Throughput; buffer size; flexible transfer line; genetic algorithm; rework path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management, 2006 International Conference on
Conference_Location :
Troyes
Print_ISBN :
1-4244-0450-9
Electronic_ISBN :
1-4244-0451-7
Type :
conf
DOI :
10.1109/ICSSSM.2006.320614
Filename :
4114434
Link To Document :
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