IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/816980.html
   My bibliography  Save this article

An Approach for Simple Linear Profile Gauge R&R Studies

Author

Listed:
  • Liangxing Shi
  • Wei Chen
  • Liang Fu Lu

Abstract

Gauge repeatability and reproducibility studies are significant to quality improvement and quality control. The approaches are always applied to determine the capability of the measurement system. Much of the literature in this field mainly focuses on univariate and multivariate measurement systems. However, the state-of-the-art methods are not appropriate when the quality of a product is characterized by a profile. Therefore, this paper proposes a method for the measured values which can be characterized by a simple linear profile. In addition, the slopes and intercepts of these profiles often vary due to measurement error. Thus, the simple linear profile gauge studies can be considered as a two-response (slope and intercept) problem. X -values transformation is used to make the slope and intercept of each profile independent. ANOVA is utilized to estimate the variance component of measurement error and other sources of variation. Then, the criteria precision to tolerance ratio and percent R&R are introduced to assess the simple linear profile measurement system capability. Finally, the proposed approach is applied to the spring length and elasticity measurement which demonstrates how to implement the method.

Suggested Citation

  • Liangxing Shi & Wei Chen & Liang Fu Lu, 2014. "An Approach for Simple Linear Profile Gauge R&R Studies," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-7, May.
  • Handle: RePEc:hin:jnddns:816980
    DOI: 10.1155/2014/816980
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2014/816980.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/DDNS/2014/816980.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/816980?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:jnddns:816980. 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.