IDEAS home Printed from https://ideas.repec.org/a/bpj/ecqcon/v20y2005i2p191-204n4.html
   My bibliography  Save this article

Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration

Author

Listed:
  • Gadre M. P.

    (Department of Statistics, Mudhoji College, Phaltan, 415523 India)

  • Rattihalli R. N.

    (Department of Statistics, Shivaji University, Kolhapur, 416004 India)

Abstract

In a production process, when quality of the product depends on more than one characteristic, ‘Multivariate Quality Control’ (MQC) techniques are used. Many MQC techniques have been developed to control multivariate variable processes, but not much work has been reported on multivariate attribute processes. In this article, we propose some group inspection based multi-attribute control charts to identify process deterioration. The charts proposed are the ‘Multi-Attribute np’ (MA – np) chart, the ‘Multi-Attribute Synthetic’ (MA – Syn) chart and the ‘Multi-Attribute Group Runs’ (MA – GR) chart. The charts are developed by using MP-test based on the exact distribution. It is numerically illustrated that, MA – GR chart performs better than the other two charts. Also in steady state MA – GR chart performs better than MA – np and MA – Syn control charts. A procedure of identifying the attributes causing signal is also proposed.

Suggested Citation

  • Gadre M. P. & Rattihalli R. N., 2005. "Some Group Inspection Based Multi-Attribute Control Charts to Identify Process Deterioration," Stochastics and Quality Control, De Gruyter, vol. 20(2), pages 191-204, January.
    • Handle: RePEc:bpj:ecqcon:v:20:y:2005:i:2:p:191-204:n:4
    DOI: 10.1515/EQC.2005.191
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/EQC.2005.191
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/EQC.2005.191?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. Anders Ekholm & John W. McDonald & Peter W. F. Smith, 2000. "Association Models for a Multivariate Binary Response," Biometrics, The International Biometric Society, vol. 56(3), pages 712-718, September.
    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. Hou, Chia-Ding & Huang, Sheng, 2013. "Identifying the source of proportion shifts in a multinomial process using a simple statistical test procedure," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1100-1105.

    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. Alberto Roverato, 2015. "Log-mean Linear Parameterization for Discrete Graphical Models of Marginal Independence and the Analysis of Dichotomizations," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(2), pages 627-648, June.
    2. Monia Lupparelli & Alberto Roverato, 2017. "Log-mean linear regression models for binary responses with an application to multimorbidity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 227-252, February.
    3. Jokinen, Jukka, 2006. "Fast estimation algorithm for likelihood-based analysis of repeated categorical responses," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1509-1522, December.
    4. Anatolyev Stanislav, 2009. "Multi-Market Direction-of-Change Modeling Using Dependence Ratios," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-24, March.
    5. Forcina, Antonio & Kateri, Maria, 2021. "A new general class of RC association models: Estimation and main properties," Journal of Multivariate Analysis, Elsevier, vol. 184(C).
    6. Gianfranco Lovison, 2015. "A generalization of the Binomial distribution based on the dependence ratio," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(2), pages 126-149, May.

    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:bpj:ecqcon:v:20:y:2005:i:2:p:191-204:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.