IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3189412.html
   My bibliography  Save this article

Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles

Author

Listed:
  • Yeneneh Tamirat
  • Fu-Kwun Wang
  • Yen-Chih Chen

Abstract

We present four new sampling schemes by variables inspection to deal with the first-order autoregressive model between linear profiles. The first plan is based on exponentially weighted moving average (EWMA) and the rest of three plans are using the resubmitted sampling, repetitive group sampling (RGS), and multiple dependent state (MDS) sampling schemes. The nonlinear optimization problem is developed to find the number of profiles and the corresponding acceptance criteria, such that the producer’s and consumer’s risk are satisfied simultaneously. The efficiency of the proposed plans is compared with the conventional single sampling plan in terms of average sample number and the probability of acceptance. The result implies that all of the proposed sampling plans are superior to the single acceptance sampling plan by variables. In addition, the EWMA method appeared to be better than the others. The applications of proposed plans are shown with the help of industrial examples taken from calibration of an optical imaging system, and tire cornering stiffness test.

Suggested Citation

  • Yeneneh Tamirat & Fu-Kwun Wang & Yen-Chih Chen, 2017. "Sampling Schemes by Variables Inspection for the First-Order Autoregressive Model between Linear Profiles," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-11, October.
    • Handle: RePEc:hin:jnlmpe:3189412
    DOI: 10.1155/2017/3189412
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2017/3189412.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2017/3189412.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2017/3189412?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
    ---><---

    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:hin:jnlmpe:3189412. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.