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Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing

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  • Rogers, David F.
  • Kulkarni, Shailesh S.

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  • Rogers, David F. & Kulkarni, Shailesh S., 2005. "Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing," European Journal of Operational Research, Elsevier, vol. 160(2), pages 423-444, January.
    • Handle: RePEc:eee:ejores:v:160:y:2005:i:2:p:423-444
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    References listed on IDEAS

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    1. King, John R, 1980. "Machine-component group formation in group technology," Omega, Elsevier, vol. 8(2), pages 193-199.
    2. Arzi, Yohanan & Bukchin, Joseph & Masin, Michael, 2001. "An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment," European Journal of Operational Research, Elsevier, vol. 134(2), pages 346-364, October.
    3. Sankaran, S. & Kasilingam, R. G., 1993. "On cell size and machine requirements planning in group technology systems," European Journal of Operational Research, Elsevier, vol. 69(3), pages 373-383, September.
    4. Singh, N., 1993. "Design of cellular manufacturing systems: An invited review," European Journal of Operational Research, Elsevier, vol. 69(3), pages 284-291, September.
    5. Moon, Chiung & Gen, Mitsuo, 1999. "A genetic algorithm-based approach for design of independent manufacturing cells," International Journal of Production Economics, Elsevier, vol. 60(1), pages 421-426, April.
    6. Chu, C-H, 1989. "Cluster analysis in manufacturing cellular formation," Omega, Elsevier, vol. 17(3), pages 289-295.
    7. William T. McCormick & Paul J. Schweitzer & Thomas W. White, 1972. "Problem Decomposition and Data Reorganization by a Clustering Technique," Operations Research, INFORMS, vol. 20(5), pages 993-1009, October.
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    Cited by:

    1. Hahsler, Michael, 2017. "An experimental comparison of seriation methods for one-mode two-way data," European Journal of Operational Research, Elsevier, vol. 257(1), pages 133-143.
    2. Mohd Fahmi Bin Mad Ali & Mohd Khairol Anuar Bin Mohd Ariffin & Aidin Delgoshaei & Faizal Bin Mustapha & Eris Elianddy Bin Supeni, 2023. "A Comprehensive 3-Phase Framework for Determining the Customer’s Product Usage in a Food Supply Chain," Mathematics, MDPI, vol. 11(5), pages 1-20, February.
    3. Noriyoshi Sukegawa & Yoshitsugu Yamamoto & Liyuan Zhang, 2013. "Lagrangian relaxation and pegging test for the clique partitioning problem," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 7(4), pages 363-391, December.

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