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Survey of similarity coefficient based methods as applied to the group technology configuration problem

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  • Mosier, C. T.
  • Yelle, J.
  • Walker, G.

Abstract

This paper presents a survey of similarity-oriented metrics recently developed for use in addressing the GTCP (group technology configuration problem). This survey seeks to contribute to the theory underlying the problem by identifying themes in the evolution of these metrics in terms of structural form, and in terms of the form and levels of the information required for computation. We discuss these facets of the metrics in the context of their applications, and develop conjectures concerning the 'best' forms. We seek to develop insights into the nature of the GTCP by exploring the intrinsic nature of the metrics, with particular emphasis upon the type of information used in their computation, and structural similarities and dissimilarities in their functional specifications.

Suggested Citation

  • Mosier, C. T. & Yelle, J. & Walker, G., 1997. "Survey of similarity coefficient based methods as applied to the group technology configuration problem," Omega, Elsevier, vol. 25(1), pages 65-79, February.
    • Handle: RePEc:eee:jomega:v:25:y:1997:i:1:p:65-79
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    References listed on IDEAS

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    1. Mosier, Charles & Taube, Larry, 1985. "Weighted similarity measure heuristics for the group technology machine clustering problem," Omega, Elsevier, vol. 13(6), pages 577-579.
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    Cited by:

    1. Yin, Yong & Yasuda, Kazuhiko, 2006. "Similarity coefficient methods applied to the cell formation problem: A taxonomy and review," International Journal of Production Economics, Elsevier, vol. 101(2), pages 329-352, June.

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