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International Journal of Production Research Volume 30, 1992 - Issue 6
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Original Articles

Quantifying data for group technology with weighted fuzzy features

DAVID BEN-ARIEH Department of Industrial Engineering, Durland Hall, Kansas State University, Manhattan, KS, 66506-5101, USA
&
EVANGELOS TRIANTAPHYLLOU Department of Industrial Engineering, Durland Hall, Kansas State University, Manhattan, KS, 66506-5101, USA
Pages 1285-1299 | Received 01 Oct 1991, Published online: 08 Jul 2010

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Yong-Hong Kuo & Andrew Kusiak. (2019) From data to big data in production research: the past and future trends. International Journal of Production Research 57:15-16, pages 4828-4853.
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S. Sasmal, K. Ramanjaneyulu & N. Lakshmanan. (2007) Priority ranking towards condition assessment of existing reinforced concrete bridges. Structure and Infrastructure Engineering 3:1, pages 75-89.
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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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S. KAMAL & L. I. BURK. (1996) FACT: A new neural network-based clustering algorithm for group technology. International Journal of Production Research 34:4, pages 919-946.
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A. GUNASEKARAN, S. K. GOYAL, I. VIRTANEN & P. YLI-OLLI. (1994) An investigation into the application of group technology in advanced manufacturing systems. International Journal of Computer Integrated Manufacturing 7:4, pages 215-228.
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Egon Ostrosi & Alain-Jérôme Fougères. (2018) Intelligent virtual manufacturing cell formation in cloud-based design and manufacturing. Engineering Applications of Artificial Intelligence 76, pages 80-95.
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Daniel Coupek, Aybike Gülec, Armin Lechler & Alexander Verl. (2015) Selective rotor Assembly Using Fuzzy Logic in the Production of Electric Drives. Procedia CIRP 33, pages 550-555.
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Avichai Meged & Roy Gelbard. (2012) A Unified Fuzzy Data Model. Journal of Database Management 23:1, pages 78-102.
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Hulya Behret & Sule Itir Satoglu. 2012. Computational Intelligence Systems in Industrial Engineering. Computational Intelligence Systems in Industrial Engineering 505 533 .
Egon Ostrosi, Jörg Tautrim & Shuichi Fukuda. (2010) Consensual cell searching in cellular manufacturing design. The International Journal of Advanced Manufacturing Technology 51:5-8, pages 769-788.
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Feyzan Arıkan & Zülal Güngör. (2009) Modeling of a manufacturing cell design problem with fuzzy multi-objective parametric programming. Mathematical and Computer Modelling 50:3-4, pages 407-420.
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G. Papaioannou & J. M. Wilson. (2008) Fuzzy extensions to Integer Programming models of cell-formation problems in machine scheduling. Annals of Operations Research 166:1, pages 163-181.
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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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Ping-Feng Pai, Ping-Teng Chang & Shi-Yin Lee. (2004) Part-machine family formation using genetic algorithms in a fuzzy environment. The International Journal of Advanced Manufacturing Technology 25:11-12, pages 1175-1179.
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Feyzan Arikan & Z�lal G�ng�r. (2005) A parametric model for cell formation and exceptional elements? problems with fuzzy parameters. Journal of Intelligent Manufacturing 16:1, pages 103-114.
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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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Yohanan Arzi, Joseph Bukchin & Michael Masin. (2001) An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment. European Journal of Operational Research 134:2, pages 346-364.
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T.Warren Liao. (2001) Classification and coding approaches to part family formation under a fuzzy environment. Fuzzy Sets and Systems 122:3, pages 425-441.
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Hassan M. Selim, Ronald G. Askin & Asoo J. Vakharia. (1998) Cell formation in group technology: Review, evaluation and directions for future research. Computers & Industrial Engineering 34:1, pages 3-20.
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V. Venugopal. 1998. Group Technology and Cellular Manufacturing. Group Technology and Cellular Manufacturing 169 184 .
D. Ben-Arieh, S.E. Lee & P.T. Chang. (1996) Fuzzy part coding for group technology. European Journal of Operational Research 92:3, pages 637-648.
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Pradeep Narayanaswamy, C.R. Bector & Divakar Rajamani. (1996) Fuzzy logic concepts applied to machine—component matrix formation in cellular manufacturing. European Journal of Operational Research 93:1, pages 88-97.
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Evangelos Triantaphyllou & Chi-Tun Lin. (1996) Development and evaluation of five fuzzy multiattribute decision-making methods. International Journal of Approximate Reasoning 14:4, pages 281-310.
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T. Warren Liao, L.J. Chen, Z.H. Chen & E.R. Coates. (1996) A comparison of two approaches for designing line type cellular manufacturing systems. Integrated Manufacturing Systems 7:1, pages 6-15.
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Li Chen, Kuang Ku, Karthik Ramani & S.S. Rao. (1996) A systematic approach to preliminary polymer process development: modeling and design. Materials & Design 17:5-6, pages 235-244.
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Li Chen, K'uang Ku & Karthik Ramani. (1996) A linguistic based preliminary procedure for qualitative polymer process design. Materials & Design 17:4, pages 181-191.
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Soheyla Kamal. 1995. Planning, Design, and Analysis of Cellular Manufacturing Systems. Planning, Design, and Analysis of Cellular Manufacturing Systems 251 282 .
Laura Burke & Soheyla Kamal. (1995) Neural networks and the part family/ machine group formation problem in cellular manufacturing: A framework using fuzzy ART. Journal of Manufacturing Systems 14:3, pages 148-159.
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J. A. B. Montevechi, G. L. Torres, P. E. Miyagi & M. R. P. Barretto. 1995. Balanced Automation Systems. Balanced Automation Systems 171 178 .
E. Triantaphyllou. (1994) Decision making in engineering and business: a cost-effective approach. Decision making in engineering and business: a cost-effective approach.
S.S. Heragu. (1994) Group technology and cellular manufacturing. IEEE Transactions on Systems, Man, and Cybernetics 24:2, pages 203-215.
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