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International Journal of Production Research Volume 34, 1996 - Issue 4
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Original Articles

FACT: A new neural network-based clustering algorithm for group technology

S. KAMAL
&
L. I. BURK
Pages 919-946 | 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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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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J. Li, C.-H. Chu, Y. Wang & W. Yan. (2007) An improved fuzzy clustering method for cellular manufacturing. International Journal of Production Research 45:5, pages 1049-1062.
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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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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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S. Park & N. C. Suresh. (2003) Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences. International Journal of Production Research 41:14, pages 3185-3216.
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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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Sung-Youl Lee & Ta-Cheng Chen. (2001) USING EVOLUTIONARY COMPUTATION APPROACH TO IMPROVE THE PERFORMANCE OF THE FUZZY-ART FOR GROUPING PARTS. Journal of the Chinese Institute of Industrial Engineers 18:5, pages 55-62.
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N. C. Suresh & J. Slomp. (2001) A multi-objective procedure for labour assignments and grouping in capacitated cell formation problems. International Journal of Production Research 39:18, pages 4103-4131.
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Articles from other publishers (20)

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.
Baiying Lei, Nina Cheng, Alejandro F Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu & Tianfu Wang. (2020) Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Analysis 61, pages 101652.
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Tamal Ghosh, B Doloi & Pranab K Dan. (2016) Utilization-based grouping efficiency and multi-criteria decision approach in designing of manufacturing cells. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231:3, pages 505-522.
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Deepthi P. Hudedagaddi & B. K. Tripathy. 2017. Intelligent Multidimensional Data Clustering and Analysis. Intelligent Multidimensional Data Clustering and Analysis 380 397 .
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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Pranab K. Dan, Tamal Ghosh & Sourav Sengupta. 2012. Computational Methods for Optimizing Manufacturing Technology. Computational Methods for Optimizing Manufacturing Technology 1 43 .
Hulya Behret & Sule Itir Satoglu. 2012. Computational Intelligence Systems in Industrial Engineering. Computational Intelligence Systems in Industrial Engineering 505 533 .
Xiangyong Li, M.F. Baki & Y.P. Aneja. (2010) An ant colony optimization metaheuristic for machine–part cell formation problems. Computers & Operations Research 37:12, pages 2071-2081.
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Rifat Gürcan Özdemir, Güneş Gençyılmaz & Tülin Aktin. (2007) The modified fuzzy art and a two-stage clustering approach to cell design. Information Sciences 177:23, pages 5219-5236.
Crossref
G. Naadimuthu, D.M. Liu & E.S. Lee. (2007) Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems. Computers & Mathematics with Applications 54:11-12, pages 1395-1402.
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D T Pham & A A Afify. (2016) Clustering techniques and their applications in engineering. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 221:11, pages 1445-1459.
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Chen-Fu Chien & Chia-Yu Hsu. (2006) A novel method for determining machine subgroups and backups with an empirical study for semiconductor manufacturing. Journal of Intelligent Manufacturing 17:4, pages 429-439.
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Karine Josien & T.Warren Liao. (2002) Simultaneous grouping of parts and machines with an integrated fuzzy clustering method. Fuzzy Sets and Systems 126:1, pages 1-21.
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P.-F.F. Pai & E.S. Lee. (2001) Adaptive fuzzy systems in group technology. Computers & Mathematics with Applications 42:10-11, pages 1393-1400.
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S. Lozano, D. Canca, F. Guerrero & J.M. Garcı́a. (2001) Machine grouping using sequence-based similarity coefficients and neural networks. Robotics and Computer-Integrated Manufacturing 17:5, pages 399-404.
Crossref
Bo K. Wong, Vincent S. Lai & Jolie Lam. (2000) A bibliography of neural network business applications research: 1994–1998. Computers & Operations Research 27:11-12, pages 1045-1076.
Crossref
C. Caux, R. Bruniaux & H. Pierreval. (2000) Cell formation with alternative process plans and machine capacity constraints: A new combined approach. International Journal of Production Economics 64:1-3, pages 279-284.
Crossref
A Ajmal & S G Zhang. (2016) The application of a knowledge-based clustering algorithm as an aid to probe selection and inspection process planning. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 212:4, pages 299-305.
Crossref
Godfrey C. Onwubolu. 1998. Artificial Intelligence in Design ’98. Artificial Intelligence in Design ’98 661 678 .
V. Venugopal. 1998. Group Technology and Cellular Manufacturing. Group Technology and Cellular Manufacturing 169 184 .

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