IDEAS home Printed from https://ideas.repec.org/a/ids/eujine/v7y2013i4p497-528.html
   My bibliography  Save this article

The effect of inspection error on quality and producer losses: the case of nominal-the-best type quality characteristic and rework

Author

Listed:
  • Gülser Köksal
  • Aysun TaÅŸeli
  • Leman Esra Dolgun
  • Ä°nci Batmaz

Abstract

In this study, the effect of inspection error (IE) on quality and producer losses is investigated for a nominal-the-best type quality characteristic determined by a manufacturing process centre with a separate rework unit. The probability distribution and the first two moments of the resulting quality characteristic values are derived and used together with Markov chain models and simulation to study the quality and producer losses and the related statistics for various processes and gauge capability levels. The results of this study confirm with strong theoretical and empirical evidence that an effective way of achieving robustness to IE is to improve the process capability. This study provides benchmarks that support understanding and decision making of quality professionals. [Received 11 November 2010; Revised 3 June 2011; Revised 6 December 2011; Accepted 18 December 2011]

Suggested Citation

  • Gülser Köksal & Aysun TaÅŸeli & Leman Esra Dolgun & Ä°nci Batmaz, 2013. "The effect of inspection error on quality and producer losses: the case of nominal-the-best type quality characteristic and rework," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 7(4), pages 497-528.
    • Handle: RePEc:ids:eujine:v:7:y:2013:i:4:p:497-528
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=55021
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Hsi-Tien Chen & Kuen-Suan Chen, 2016. "Assessing the assembly quality of a T-bar ceiling suspension by using an advanced multi-process performance analysis chart with asymmetric tolerance," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 264-283.
    2. Razmkhah Mansooreh & Ahmadi Jafar & Sadeghpour Gildeh Bahram, 2017. "An Economic Design of Rectifying Double Acceptance Sampling Plans via Maxima Nomination Sampling," Stochastics and Quality Control, De Gruyter, vol. 32(2), pages 99-104, December.
    3. Ruiying Li & Qiang Dong & Wenting Ma & Rui Kang, 2023. "A test-based methodology for the probabilistic assessment of system resilience under random disturbances," Journal of Risk and Reliability, , vol. 237(4), pages 671-685, August.

    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:ids:eujine:v:7:y:2013:i:4:p:497-528. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=210 .

    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.