Volume 2 Issue 1 pp. 87-122 Winter, 2011


Meta-heuristics in cellular manufacturing: A state-of-the-art review


Tamal Ghosh, Sourav Sengupta , Manojit Chattopadhyay and Pranab K Dan


Meta-heuristic approaches are general algorithmic framework, often nature-inspired and designed to solve NP-complete optimization problems in cellular manufacturing systems and has been a growing research area for the past two decades. This paper discusses various meta-heuristic techniques such as evolutionary approach, Ant colony optimization, simulated annealing, Tabu search and other recent approaches, and their applications to the vicinity of group technology/cell formation (GT/CF) problem in cellular manufacturing. The nobility of this paper is to incorporate various prevailing issues, open problems of meta-heuristic approaches, its usage, comparison, hybridization and its scope of future research in the aforesaid area.


DOI: 10.5267/j.ijiec.2010.04.005

Keywords: Meta-heuristic, Cell formation, Group technology, Evolutionary algorithms, Survey, Review
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