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Machine-component group formation in group technology

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  • King, John R

Abstract

A new Rank Order Cluster Algorithm is discussed which provides a simple, effective and efficient analytical technique for the formation of machine-component groupings. The method is specifically developed for computer application although it is possible for it to be used for manual computation, if required, particularly for smaller problems.

Suggested Citation

  • King, John R, 1980. "Machine-component group formation in group technology," Omega, Elsevier, vol. 8(2), pages 193-199.
    • Handle: RePEc:eee:jomega:v:8:y:1980:i:2:p:193-199
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    Cited by:

    1. Nair, G. Jayakrishnan & Narendran, T. T., 1997. "Cluster goodness: A new measure of performance for cluster formation in the design of cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 48(1), pages 49-61, January.
    2. Yin, Liang & He, Ming-Li & Xie, Wen-Bo & Yuan, Fei & Chen, Duan-Bing & Su, Yang, 2018. "A quantitative model of universalization, serialization and modularization on equipment systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 359-366.
    3. O. Mahesh & G. Srinivasan, 2006. "Multi-objectives for incremental cell formation problem," Annals of Operations Research, Springer, vol. 143(1), pages 157-170, March.
    4. 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.
    5. 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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