Volume 42, Issue 6 (November 2014)

    Approximately Unbiased Estimator for Non-Normal Process Capability Index CNpk

    (Received 14 May 2013; accepted 17 December 2013)

    Published Online: 2014

    CODEN: JTEOAD

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    Abstract

    Process capability indices (PCIs) have been extensively used to evaluate and measure whether the process meets the specifications and they provide quality assurance and guide a principal for quality improvement. The index Cpk is the most popular index and is widely used in the manufacturing industry for manufacturing yield evaluation. However, typical evaluations of Cpk depend heavily on the assumption of normal variability. When the underlying distributions are non-normal, the capability evaluations are highly unreliable. In the paper, we apply four various bootstrap methods to construct lower confidence bounds of CNpk for non-normal processes. We also propose an approximately unbiased estimator of CNpk for the non-normal processes. Comparisons among the four bootstrap methods with different estimators are provided.


    Author Information:

    Pearn, W. L.
    Department of Industrial Engineering and Management, National Chiao Tung Univ.,

    Tai, Y. T.
    Department of Information Management, Kainan Univ., Taoyuan,

    Hsiao, I. F.
    Department of Industrial Engineering and Management, National Chiao Tung Univ.,

    Ao, Y. P.
    Department of Industrial Engineering and Management, National Chiao Tung Univ.,


    Stock #: JTE20130125

    ISSN: 0090-3973

    DOI: 10.1520/JTE20130125

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    Author
    Title Approximately Unbiased Estimator for Non-Normal Process Capability Index CNpk
    Symposium , 0000-00-00
    Committee E11