IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v45y2013i6p575-590.html
   My bibliography  Save this article

Improving the performance of manufacturing systems with continuous sampling plans

Author

Listed:
  • Yongxin Cao
  • Velusamy Subramaniam

Abstract

Continuous sampling plans are commonly adopted in various manufacturing industries to improve quality. Quantitative performance measures such as throughput and Work-In-Process (WIP) are highly coupled with quality and are also affected by sampling plans. However, quantitative and qualitative issues have long been studied separately in the literature. This article proposes an integrated quantity and quality model for manufacturing systems with sampling plans. A continuous-time and discrete part flow Markov model is first proposed for a single-stage system. Unlike previous Markov models, this model is capable of calculating various performance measures; e.g., throughput, quality, average fraction of inspection and WIP. A method for performance analysis of two-stage systems is presented. The method’s satisfactory accuracy is demonstrated with experimental results. Additionally, quantitative analysis is performed to investigate the effect of sampling fraction and clearance number (parameters of a sampling plan) on the various performance measures. Industrial practitioners may benefit in improving the performance by varying sampling plans. Finally, a decomposition model of multistage systems is studied based on which a method to determine the best sampling plans for manufacturing systems is developed. Numerical experimental results demonstrate the effectiveness of the proposed method in finding appropriate sampling parameters for profit improvement.

Suggested Citation

  • Yongxin Cao & Velusamy Subramaniam, 2013. "Improving the performance of manufacturing systems with continuous sampling plans," IISE Transactions, Taylor & Francis Journals, vol. 45(6), pages 575-590.
    • Handle: RePEc:taf:uiiexx:v:45:y:2013:i:6:p:575-590
    DOI: 10.1080/0740817X.2012.733485
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2012.733485
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0740817X.2012.733485?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.

    Citations

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


    Cited by:

    1. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system," International Journal of Production Economics, Elsevier, vol. 173(C), pages 184-198.
    2. Wei, Shuaichong & Nourelfath, Mustapha & Nahas, Nabil, 2023. "Analysis of a production line subject to degradation and preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    3. Geoffrey Decrouez & Andrew Robinson, 2018. "Bias‐Corrected Estimation in Continuous Sampling Plans," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 177-193, 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:uiiexx:v:45:y:2013:i:6:p:575-590. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.