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Original Articles

Parameter setting of the Fuzzy ART neural network to part–machine cell formation problem

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Pages 1257-1278 | Received 01 Sep 2003, Published online: 21 Oct 2013

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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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Sourav Sengupta, Tamal Ghosh & PranabK. Dan. (2011) Fuzzy ART K-Means Clustering Technique: a hybrid neural network approach to cellularmanufacturing systems. International Journal of Computer Integrated Manufacturing 24:10, pages 927-938.
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Y. Won & K. R. Currie. (2007) Fuzzy ART/RRR-RSS: a two-phase neural network algorithm for part-machine grouping in cellular manufacturing. International Journal of Production Research 45:9, pages 2073-2104.
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Articles from other publishers (9)

Laura Tomidei, Nathalie Sick, Jochen Deuse & Lee Clemon. (2022) Production Flow Analysis in the Era of Industry 4.0 : How Digital Technologies can Support Decision-Making in the Factory of the Future. Production Flow Analysis in the Era of Industry 4.0 : How Digital Technologies can Support Decision-Making in the Factory of the Future.
Yeliz Buruk Sahin & Serafettin Alpay. (2016) A metaheuristic approach for a cubic cell formation problem. Expert Systems with Applications 65, pages 40-51.
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Javad Rezaeian Zeidi, Nikbakhsh Javadian, Reza Tavakkoli-Moghaddam & Fariborz Jolai. (2013) A hybrid multi-objective approach based on the genetic algorithm and neural network to design an incremental cellular manufacturing system. Computers & Industrial Engineering 66:4, pages 1004-1014.
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Basilis Boutsinas. (2013) Machine-part cell formation using biclustering. European Journal of Operational Research 230:3, pages 563-572.
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Manojit Chattopadhyay, Sourav Sengupta, Tamal Ghosh, Pranab K. Dan & Sitanath Mazumdar. (2013) Neuro-genetic impact on cell formation methods of Cellular Manufacturing System design: A quantitative review and analysis. Computers & Industrial Engineering 64:1, pages 256-272.
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Hulya Behret & Sule Itir Satoglu. 2012. Computational Intelligence Systems in Industrial Engineering. Computational Intelligence Systems in Industrial Engineering 505 533 .
Bo K. Wong & Vincent S. Lai. (2011) A survey of the application of fuzzy set theory in production and operations management: 1998–2009. International Journal of Production Economics 129:1, pages 157-168.
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Gülşen Aydın Keskin & Coşkun Özkan. (2008) An alternative evaluation of FMEA: Fuzzy ART algorithm. Quality and Reliability Engineering International 25:6, pages 647-661.
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Dania A. El-Kebbe & Christoph Danne. 2009. Complex Systems and Self-organization Modelling. Complex Systems and Self-organization Modelling 83 93 .

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