Title :
A quantum particle swarm optimization approach for the design of virtual manufacturing cells
Author :
Caprihan, R. ; Slomp, J. ; Gursaran ; Agarwal, K.
Author_Institution :
Fac. of Eng., Dayalbagh Educ. Inst., Agra, India
Abstract :
In this paper a QPSO procedure is proposed for the design of virtual manufacturing cells within which machines and jobs are assigned to the cells with a view to maximize productive output, whilst simultaneously minimizing the inter-cell movements due to the limited availability of machines. The QPSO results are compared with both a GA approach as well as a preemptive/lexico goal programming approach. It is observed that the suggested procedure performs well for the assumed VCM design problem.
Keywords :
cellular manufacturing; particle swarm optimisation; productivity; systems analysis; virtual manufacturing; QPSO procedure; VCM design; intercell movement; productive output; quantum particle swarm optimization; system design; virtual cellular manufacturing; virtual manufacturing cells; Algorithm design and analysis; Cellular manufacturing; Design engineering; Design optimization; Environmental economics; Job design; Mathematical model; Particle swarm optimization; Throughput; Virtual manufacturing; Quantum Particle Swarm Optimization; Virtual Cellular Manufacturing System Design;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373408
