An Assessment of Gauge Repeatability and Reproducibility with Multiple Characteristics

    Volume 41, Issue 4 (July 2013)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Published Online: 24 May 2013

    Page Count: 8


    Wang, Fu-Kwun
    Dept. of Industrial Management, National Taiwan Univ. of Science and Technology, Taipei,

    (Received 18 April 2012; accepted 16 January 2013)

    Abstract

    Measurement system analysis plays an important role of many continuous improvement initiatives in the manufacturing industry. Measurement systems are commonly evaluated by performing a gauge repeatability and reproducibility (GRR) study. In some circumstances, manufacturing tests in a GRR study may have multiple characteristics with a multivariate normal distribution. To determine the preferred method for a GRR analysis, multivariate analysis of variance (MANOVA) and principal component analysis (PCA) are applied to data taken from two real cases. Three performance measures [precision to tolerance ratio (PTRM), the percentage of repeatability and reproducibility (%RRM), and signal-to-noise ratio (SNRM)] are used to evaluate the adequacy of the measurement process. The results show that the MANOVA method is suitable for a GRR study with multiple characteristics.


    Paper ID: JTE20120113

    DOI: 10.1520/JTE20120113

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    Author
    Title An Assessment of Gauge Repeatability and Reproducibility with Multiple Characteristics
    Symposium , 0000-00-00
    Committee E11