IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v25y1998i4p559-574.html
   My bibliography  Save this article

Estimating process capability indexes for autocorrelated data

Author

Listed:
  • Nien Fan Zhang

Abstract

Process capability indexes are widely used in the manufacturing industries and by supplier companies in process assessments and in the evaluation of purchasing decisions. One concern about using the process capability indexes is the assumption of the mutual independence of the process data, because, in process industries, process data are often autocorrelated. This paper discusses the use of the process capability indexes Cp and Cpk when the process data are autocorrelated. Interval estimation procedures for Cp and Cpk are proposed and their properties are studied.

Suggested Citation

  • Nien Fan Zhang, 1998. "Estimating process capability indexes for autocorrelated data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 559-574.
    • Handle: RePEc:taf:japsta:v:25:y:1998:i:4:p:559-574
    DOI: 10.1080/02664769823025
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664769823025
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664769823025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A. F. Bissell, 1990. "How Reliable is Your Capability Index?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(3), pages 331-340, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marta Benková & Dagmar Bednárová & Gabriela Bogdanovská, 2024. "Process Capability Evaluation Using Capability Indices as a Part of Statistical Process Control," Mathematics, MDPI, vol. 12(11), pages 1-29, May.
    2. Sueli Mingoti & Julia De Carvalho & Joab De Oliveira Lima, 2008. "On the estimation of serial correlation in Markov-dependent production processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(7), pages 763-771.
    3. Sueli Mingoti & Otaviano Neves, 2003. "A note on the Zhang omnibus test for normality based on the Q statistic," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(3), pages 335-341.
    4. Michele Scagliarini, 2010. "Inference on Cpk for autocorrelated data in the presence of random measurement errors," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(1), pages 147-158.
    5. Mohammed Z. Anis, 2008. "Basic Process Capability Indices: An Expository Review," International Statistical Review, International Statistical Institute, vol. 76(3), pages 347-367, December.
    6. Boby John & K. K. Chowdhury, 2021. "Minimizing the Dry Content Variation in the Pulp Drying Process Using Six Sigma Methodology," SN Operations Research Forum, Springer, vol. 2(4), pages 1-21, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hsu, Ya-Chen & Pearn, W.L. & Chuang, Ya-Fei, 2009. "Sample size determination for production yield estimation with multiple independent process characteristics," European Journal of Operational Research, Elsevier, vol. 196(3), pages 968-978, August.
    2. Pearn, W.L. & Wu, Chien-Wei, 2006. "Production quality and yield assurance for processes with multiple independent characteristics," European Journal of Operational Research, Elsevier, vol. 173(2), pages 637-647, September.
    3. Kuen-Suan Chen & Kung-Jeng Wang & Tsang-Chuan Chang, 2017. "A novel approach to deriving the lower confidence limit of indices , , and in assessing process capability," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 4963-4981, September.
    4. Rendao Ye & Tiefeng Ma & Songgui Wang, 2011. "Generalized confidence intervals for the process capability indices in general random effect model with balanced data," Statistical Papers, Springer, vol. 52(1), pages 153-169, February.
    5. Chun-Min Yu & Tsun-Hung Huang & Kuen-Suan Chen & Tsung-Yu Huang, 2022. "Construct Six Sigma DMAIC Improvement Model for Manufacturing Process Quality of Multi-Characteristic Products," Mathematics, MDPI, vol. 10(5), pages 1-13, March.
    6. Wang, Ching-Hsin & Chen, Kuen-Suan, 2020. "New process yield index of asymmetric tolerances for bootstrap method and six sigma approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 216-223.
    7. K. Kurian & Thomas Mathew & G. Sebastian, 2008. "Generalized confidence intervals for process capability indices in the one-way random model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(1), pages 83-92, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:japsta:v:25:y:1998:i:4:p:559-574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.