Abstract

Article history: Received 1 April 2010 Received in revised form 22 July 2010 Accepted 30 July 2010 Available online 1 Auguest 2010 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 metaheuristic 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. © 2010 Growing Science Ltd. All rights reserved.

Highlights

  • Cellular manufacturing (CM) has been evolved to fulfil contemporary market demand where traditional manufacturing system was incompetent

  • Group technology (GT) is defined as a technique which distinguishes similar parts and clustering them into part families based on their manufacturing designs, attributes and geometric shapes and it was first proposed by Burbidge (1963)

  • Designing manufacturing cell is usually called cell formation problem (CF/CFP) which consists of the following approaches: similar parts are normally grouped into part families according to their processing requirements, dissimilar machines are grouped to form manufacturing cells and part families are allocated to cells

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Summary

Introduction

Cellular manufacturing (CM) has been evolved to fulfil contemporary market demand where traditional manufacturing system was incompetent. Depending on the procedures involved in CFP, three solution methodologies are proposed by Selim et al (1998): (a) part families are accomplished first and machines are clustered into cells according to the processing requirement of part families. This is known as part-family identification, (b) manufacturing cells (clustering of heterogeneous machines) are first generated based on uniformities in part routing and the part families are allocated to. Ghosh et al./ International Journal of Industrial Engineering Computations 2 (2011)

CF solution methods based on meta-heuristics
Deterministic meta-heuristics
Single solution based method
PSO in Cell Formation
2.2.11 BA in Cell Formation
2.2.13 WFA in Cell Formation
Comparison based on objective function
Comparison among different meta-heuristics
Usage statistics of meta-heuristics in cell formation problems
Findings
Conclusion
Full Text
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