Approaches to solve cell formation, machine layout and cell layout problem: A Review

Authors

  • J. N. Patel Chhotubhai Gopalbhai Patel Institute of Technology, Uka Tarsadia University, Surat, Gujarat, India
  • S. V. Patel Computer Science Department, Veer Narmad South Gujarat University, Surat, Gujarat, India

DOI:

https://doi.org/10.14738/tmlai.25.600

Keywords:

Genetic Algorithm, Cell Formation Problem, Machine Layout Problem, Cell Layout Problem.

Abstract

 Cell formation, machine layout and cell layout problems in cellular manufacturing system are NP-Complete optimization problems. Good cell formation & layout design in cellular manufacturing system is achieved by finding optimum or near-optimum solutions of these problems, which substantially reduces manufacturing cost and time. Many approaches have been advocated by researchers to obtain better cell formation & layout design. An attempt has been done in this paper to review such approaches based on heuristics, meta-heuristics, hybrid methods and exact solution methods developed by past researchers to solve these problems. The main objective of this review paper is to find out the effective and efficient approaches by comparing them based on performance criteria, their benefits and drawbacks in solving cellular manufacturing system problems and find out future research scope in this area.

 

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Published

2014-11-03

How to Cite

Patel, J. N., & Patel, S. V. (2014). Approaches to solve cell formation, machine layout and cell layout problem: A Review. Transactions on Engineering and Computing Sciences, 2(5), 80–96. https://doi.org/10.14738/tmlai.25.600