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Original Articles

Machine-component grouping in cellular manufacturing by multidimensional scaling

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Pages 457-477 | Received 01 Nov 1992, Published online: 07 May 2007

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Read on this site (6)

Arnab Banerjee, Bijon Sarkar & S.K. Mukhopadhyay. (2012) Multiple decoupling point paradigms in a global supply chain syndrome: a relational analysis. International Journal of Production Research 50:11, pages 3051-3065.
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E. G. John, A. Davies & A. J. Thomas. (2009) A note on ‘Modified Hamiltonian chain: a graph theoretic approach to group technology’ after S. K. Mukhopadhyay, K. Ramesh Babu and K. V. Vijai Sai. International Journal of Production Research 47:1, pages 289-298.
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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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Chuen-Sheng Cheng, Chung-Lun Kuo & Shin-Jia Chen. (1997) An application of fuzzy art neural network for the partmachine grouping problem: Modified algorithm and performance evaluation. Journal of the Chinese Institute of Industrial Engineers 14:2, pages 181-193.
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S. K. MUKHOPADHYAY, A. GOPALAKRISHNAN & M. K. KRIPALANI. (1995) Moments-based clustering techniques for manufacturing cell formation. International Journal of Production Research 33:4, pages 1091-1115.
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S. K. MUKHOPADHYAY & A. GOPALAKRISHNAN. (1995) A vector analytic VECAN method for solving the machine-part grouping problem in GT. International Journal of Production Research 33:3, pages 795-818.
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Articles from other publishers (3)

Xiao Feng Yin, Li Pheng Khoo & Yih Tng Chong. (2013) A fuzzy c-means based hybrid evolutionary approach to the clustering of supply chain. Computers & Industrial Engineering 66:4, pages 768-780.
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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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Hassan M. Selim, Reda M.S. Abdel Aal & Araby I. Mahdi. (2003) Formation of machine groups and part families: a modified SLC method and comparative study. Integrated Manufacturing Systems 14:2, pages 123-137.
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