IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-40709-4_6.html
   My bibliography  Save this book chapter

Measurement System Analysis: Gage R&R Analysis

In: Six Sigma for Students

Author

Listed:
  • Fatma Pakdil

    (Eastern Connecticut State University)

Abstract

The decisions made in manufacturing and service settings heavily rely on the data collected through measurement systems. The main goal of measurement systems is to make sure that the data are collected through valid and reliable measurement systems. Chapter 6 focuses on how to conduct measurement system analysis in Six Sigma projects. The measurement systems are analyzed through Gage R&R analysis. The purposes of Gage R&R analysis are to (1) determine how much of the total observed variability comes from the gauge, instrument, or measurement system; (2) identify and isolate the variability causes in the measurement system; and (3) evaluate if the measure system is capable, adequate, accurate, and appropriate (Montgomery, D. C., Introduction to statistical quality. Wiley, New York, 2013). The idea behind Gage R&R is to differentiate measurement system variability from process variability. Several examples are presented to demonstrate how to conduct Gage R&R analysis.

Suggested Citation

  • Fatma Pakdil, 2020. "Measurement System Analysis: Gage R&R Analysis," Springer Books, in: Six Sigma for Students, chapter 6, pages 141-156, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-40709-4_6
    DOI: 10.1007/978-3-030-40709-4_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:sprchp:978-3-030-40709-4_6. 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: 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.