Optimization of Cellular Manufacturing Systems Using Genetic Algorithm: A Review

Abstract:

Though Cellular Manufacturing System (CMS) has been an active area of research for past few decades, but, still it has not received the requisite attention so far. Despite of a useful manufacturing strategy based on the group technology (GT), it is yet to be established on a larger scale. The CMS allows the grouping of the facilities on the basis of similarity in manufacturing processes and design considerations of the products to be manufactured. A lot of researchers have worked for various developments related to various issues of CMS, but for last decades, the modern optimization tools like genetic algorithm (GA), artificial neural networks (ANN) have changed the scenario and research work has been accelerated related to CMS. The present paper is an attempt to discuss the GA related research work by various researchers for CMS. Research work along with their impact of past researchers has been discussed and reported here.

• Periodical: Advanced Materials Research (Volumes 622-623)
• Pages: 60-63
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.622-623.60
• Online since: December 2012
• Authors: Pawan Kumar Arora, Abid Haleem, M.K. Singh, Harish Kumar
• Keywords: Cellular Manufacturing System, Genetic Algorithm (GA), Optimization, Part-Family

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