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Commonality Analysis Using Clustering Methods

Author

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  • Lawrence Dale Thomas

    (NASA/Marshall Space Flight Center, Huntsville, Alabama)

Abstract

The application of commonality in a system represents an attempt to reduce costs by reducing the number of unique components. A formal method for conducting commonality analysis has not been established. This paper characterizes commonality analysis as a partitioning problem for which the solution may be approximated by the application of clustering methods. A clustering algorithm is developed and applied to a commonality analysis of Space Station water tanks. The success in applying a clustering method in this problem indicates a significant potential for application of clustering methods to commonality analysis.

Suggested Citation

  • Lawrence Dale Thomas, 1991. "Commonality Analysis Using Clustering Methods," Operations Research, INFORMS, vol. 39(4), pages 677-680, August.
    • Handle: RePEc:inm:oropre:v:39:y:1991:i:4:p:677-680
    DOI: 10.1287/opre.39.4.677
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    Cited by:

    1. Jan A. Van Mieghem, 2004. "Note--Commonality Strategies: Value Drivers and Equivalence with Flexible Capacity and Inventory Substitution," Management Science, INFORMS, vol. 50(3), pages 419-424, March.
    2. Ulrich W. Thonemann & Margaret L. Brandeau, 2000. "Optimal Commonality in Component Design," Operations Research, INFORMS, vol. 48(1), pages 1-19, February.
    3. Menezes, Mozart B.C. & Ruiz-Hernández, Diego & Guimaraes, Renato, 2016. "The component commonality problem in a real multidimensional space: An algorithmic approach," European Journal of Operational Research, Elsevier, vol. 249(1), pages 105-116.
    4. Wang, Tai-Yue & Hu, Jui-Ming, 2008. "An inventory control system for products with optional components under service level and budget constraints," European Journal of Operational Research, Elsevier, vol. 189(1), pages 41-58, August.

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