A novel algorithm for virtual cellular manufacturing considering real life production factors

Dhanraj P. Tambuskar, B.E. Narkhede and S.S. Mahapatra

International Journal of Services and Operations Management, 2015, vol. 20, issue 2, 246-269

Abstract: Virtual cellular manufacturing (VCM) has been evolved to improve the setup efficiency of cellular manufacturing systems without hampering the flexibility of job shop systems. In a VCM, resources are grouped logically at production planning and control stage to improve flow performance and production control even for unpredictable product mix. In this work, a novel algorithm is proposed using discrete particle swarm optimisation (DPSO) technique to design virtual cells considering processing time, operation sequence, routing flexibility, machine capacity, machine flexibility and demand. A numerical example from literature is used to illustrate the proposed algorithm. Benchmark problems of different size are tested for performance measures.

Keywords: cellular manufacturing systems; virtual CMS; similarity coefficient; discrete PSO; particle swarm optimisation; DPSO; group technology efficiency; GTE; system utilisation; manufacturing cells; setup efficiency; production control; virtual cells; processing time; operation sequence; routing flexibility; machine capacity; machine flexibility; demand. (search for similar items in EconPapers)
Date: 2015
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