TY - GEN
T1 - Buffer size decision for the flexible transfer line with rework paths using genetic algorithms
AU - Qudeiri, Jaber E.Abu
AU - Jamali, Mohamed Anouar
AU - Yamamoto, Hidehiko
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
KW - Buffer size
KW - Flexible transfer line
KW - Genetic algorithm
KW - Rework path
UR - http://www.scopus.com/inward/record.url?scp=40649097991&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=40649097991&partnerID=8YFLogxK
U2 - 10.1109/ICSSSM.2006.320614
DO - 10.1109/ICSSSM.2006.320614
M3 - Conference contribution
AN - SCOPUS:40649097991
SN - 1424404517
SN - 9781424404513
T3 - Proceedings - ICSSSM'06: 2006 International Conference on Service Systems and Service Management
SP - 210
EP - 215
BT - Proceedings - ICSSSM'06
PB - IEEE Computer Society
T2 - ICSSSM'06: 2006 International Conference on Service Systems and Service Management
Y2 - 25 October 2006 through 27 October 2006
ER -