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Applying simulated annealing to cellular manufacturing system design

Arkat, J ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1007/s00170-005-0358-5
  3. Publisher: 2007
  4. Abstract:
  5. Cell formation and cellular layout design are the two main steps in designing a cellular manufacturing system (CMS). In this paper, we will present an integrated methodology based on a new concept of similarity coefficients and the use of simulated annealing (SA) as an optimization tool. In comparison with the previous works, the proposed methodology takes into account relevant production data, such as alternative process routings and the production volumes of parts. The SA-based optimization tool is parallel in nature and, hence, can reduce the computation time significantly, so it is capable of handling large-scale problems. Finally, the SA-based procedure is compared with a genetic algorithm (GA) based procedure and it will be shown that the SA-based algorithm can be as effective as a GA-based algorithm, but with less computational time and effort. © Springer-Verlag London Limited 2007
  6. Keywords:
  7. Cellular manufacturing ; Computational mechanics ; Data reduction ; Genetic algorithms ; Optimization ; Systems analysis ; Cellular manufacturing system (CMS) ; Computational time ; Production data ; Simulated annealing
  8. Source: International Journal of Advanced Manufacturing Technology ; Volume 32, Issue 5-6 , 2007 , Pages 531-536 ; 02683768 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s00170-005-0358-5