Volume 42, Issue 4 (July 2014)

    Box-Cox Transformation Approach for Evaluating Non-Normal Processes Capability Based on the Cpk Index

    (Received 5 April 2013; accepted 11 November 2013)

    Published Online: 2014

    CODEN: JTEOAD

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    Abstract

    In manufacturing quality control and operations management, the process yield plays an important role. The capability index Cpk provides a lower bound on the process yield under the assumption that the process characteristic is normally distributed. When the normality assumption is violated, we can transform the non-normal data into normal data by using an appropriate transformation approach. In this paper, we consider the Box-Cox transformation and compare two estimation methods including the maximum likelihood estimator (MLE) and the method of percentiles (MOP). The performance comparison is based on the coverage rate, the precision, and the accuracy of the process non-conformity percentage evaluation. For various sample sizes and various distributions, several figures are presented to compare these two methods.


    Author Information:

    Wu, C. H.
    Dept. of Statistics, Feng Chia Univ., Taiwan,

    Lin, S. J.
    Dept. of Engineering and Computer Science, Feng Chia Univ., Taiwan,

    Yang, D. L.
    Dept. of Engineering and Computer Science, Feng Chia Univ., Taiwan,

    Pearn, W. L.
    Dept. of Industrial Engineering & Management, National Chiao Tung Univ., Taiwan,


    Stock #: JTE20130080

    ISSN: 0090-3973

    DOI: 10.1520/JTE20130080

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    Author
    Title Box-Cox Transformation Approach for Evaluating Non-Normal Processes Capability Based on the Cpk Index
    Symposium , 0000-00-00
    Committee E11