IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v48y2014i2p593-604.html
   My bibliography  Save this article

Using frailty models to account for heterogeneity in multistage manufacturing and service processes

Author

Listed:
  • Shervin Asadzadeh
  • Abdollah Aghaie
  • Hamid Shahriari

Abstract

Statistical process control has been widely applied to manufacturing and service operations with the aim of monitoring and improving the reliability of products. The existing monitoring procedures were introduced following the assumption that a single-stage process with independent quality characteristic is under consideration. However, in multistage processes with dependent variables, quality characteristics of interest should be optimally monitored only after they have been adjusted for the effect of influential covariates. In general, it is impossible to include all relevant covariates because measuring such values entails great financial costs. The neglect of such covariates results in having unobserved heterogeneity which dampens the detection ability of the monitoring procedure. The more complicated picture arises when the values corresponding to the reliability-related quality variable are censored due to the time and cost constraints. Thus, to deal with the effect of observed and unobserved covariates together with the censoring issue, the frailty and the proportional hazard models are used and some model-based monitoring schemes are devised. The surveillance procedures are proposed in both the presence and absence of a censoring mechanism. The performance analysis shows that the monitoring procedure based on the cumulative sum chart is superior in detecting shifts while the exponentially weighted moving average chart is effective in some cases. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Shervin Asadzadeh & Abdollah Aghaie & Hamid Shahriari, 2014. "Using frailty models to account for heterogeneity in multistage manufacturing and service processes," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 593-604, March.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:2:p:593-604
    DOI: 10.1007/s11135-012-9789-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-012-9789-x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-012-9789-x?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. Chung-Ming Yang, 2006. "Optimal Processes Management for Over-Adjusted Process with Dependent Steps on Bank Industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(5), pages 697-719, October.
    2. Chung-Ming Yang, 1999. "Economic Process Management and Its Application on Bank Industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 33(4), pages 381-394, November.
    3. Pasquale Erto & Giuliana Pallotta & Sung H. Park, 2008. "An Example of Data Technology Product: A Control Chart for Weibull Processes," International Statistical Review, International Statistical Institute, vol. 76(2), pages 157-166, August.
    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. Massimiliano Giacalone & Vito Santarcangelo & Vincenzo Donvito & Oriana Schiavone & Emilio Massa, 2021. "Big data for corporate social responsibility: blockchain use in Gioia del Colle DOP," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 1945-1971, 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. Shervin Asadzadeh & Abdollah Aghaie & Seyed Niaki, 2013. "AFT regression-adjusted monitoring of reliability data in cascade processes," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3349-3362, October.

    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:spr:qualqt:v:48:y:2014:i:2:p:593-604. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.