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Original Articles

A genetic algorithm-based approach to cell composition and layout design problems

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Pages 447-482 | Published online: 25 Jun 2007

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Roohollah YounesSinaki, Azadeh Sadeghi, Hadi Mosadegh, Najat Almasarwah & Gursel Suer. (2023) Cellular manufacturing design 1996–2021: a review and introduction to applications of Industry 4.0. International Journal of Production Research 61:16, pages 5585-5636.
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Hamed Rafiei, Masoud Rabbani, Hassan Gholizadeh & Hossein Dashti. (2016) A novel hybrid SA/GA algorithm for solving an integrated cell formation–job scheduling problem with sequence-dependent set-up times. International Journal of Management Science and Engineering Management 11:3, pages 134-142.
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Jie Lian, ChenGuang Liu, WenJuan Li, Steve Evans & Yong Yin. (2014) Formation of independent manufacturing cells with the consideration of multiple identical machines. International Journal of Production Research 52:5, pages 1363-1400.
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T. Tunnukij & C. Hicks. (2009) An Enhanced Grouping Genetic Algorithm for solving the cell formation problem. International Journal of Production Research 47:7, pages 1989-2007.
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V. Madhusudanan Pillai & Kankata Subbarao. (2008) A robust cellular manufacturing system design for dynamic part population using a genetic algorithm. International Journal of Production Research 46:18, pages 5191-5210.
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C. Dimopoulos. (2007) Explicit consideration of multiple objectives in cellular manufacturing. Engineering Optimization 39:5, pages 551-565.
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I. Mahdavi, J. Rezaeian, K. Shanker & Z. Raftani Amiri. (2006) A set partitioning based heuristic procedure for incremental cell formation with routing flexibility. International Journal of Production Research 44:24, pages 5343-5361.
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C. Dimopoulos. (2006) Multi-objective optimization of manufacturing cell design. International Journal of Production Research 44:22, pages 4855-4875.
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P. Venkumar & A. N. Haq. (2006) Complete and fractional cell formation using Kohonen self-organizing map networks in a cellular manufacturing system. International Journal of Production Research 44:20, pages 4257-4271.
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D. Lei & Z. Wu. (2005) Tabu search‐based approach to multi‐objective machine‐part cell formation. International Journal of Production Research 43:24, pages 5241-5252.
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K. Yasuda , L. Hu & Y. Yin. (2005) A grouping genetic algorithm for the multi-objective cell formation problem. International Journal of Production Research 43:4, pages 829-853.
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C. Dimopoulos & N. Mort. (2004) Evolving knowledge for the solution of clustering problems in cellular manufacturing. International Journal of Production Research 42:19, pages 4119-4133.
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Chih-Ping Chiang & Shine-Der Lee. (2004) A genetic-based algorithm with the optimal partition approach for the cell formation in bi-directional linear flow layout. International Journal of Computer Integrated Manufacturing 17:4, pages 364-375.
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Maghsud Solimanpur, Prem Vrat & Ravi Shankar. (2004) A multi-objective genetic algorithm approach to the design of cellular manufacturing systems. International Journal of Production Research 42:7, pages 1419-1441.
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Franck Viguier & Henri Pierreval. (2004) An approach to the design of a hybrid organization of workshops into functional layout and group technology cells. International Journal of Computer Integrated Manufacturing 17:2, pages 108-116.
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L. P. Khoo, S. G. Lee & X. F. Yin. (2003) Multiple-objective optimization of machine cell layout using genetic algorithms. International Journal of Computer Integrated Manufacturing 16:2, pages 140-155.
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Henri Pierreval & Franck Viguier. (2002) Structuration d'ateliers hybrides. Journal of Decision Systems 11:1, pages 53-72.
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O. Mahesh & G. Srinivasan. (2002) Incremental cell formation considering alternative machines. International Journal of Production Research 40:14, pages 3291-3310.
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ELINM. WICKS & RODERICKJ. REASOR. (1999) Designing cellular manufacturing systems with dynamic part populations. IIE Transactions 31:1, pages 11-20.
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