IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-81-322-2325-2_12.html
   My bibliography  Save this book chapter

Sigma Level Estimation

In: Six Sigma for Organizational Excellence

Author

Listed:
  • K. Muralidharan

    (M. S. University of Baroda, Department of Statistics, Faculty of Science)

Abstract

The sigma level estimation sets the base for improvement for any process. After setting the goal, the Six Sigma process performance is evaluated in terms of its sigma level, and for the evaluation of sigma level, we need to have the knowledge of the specification limits and target of the process. The process performance is also seen in terms of its long-term and short-term performance. All this concepts are discussed in this chapter. The sigma level is usually calculated on the basis of process capability, which generally depends on the type of data under investigation. For attribute data system, the capability is calculated in terms of defects per million opportunities often called parts per million, whereas for continuous data system, the capability is defined in terms of defects under the curve and outside of the specification limits. An important performance dimension not captured by defects or sigma level is the cost of impact of defects, often called cost of poor quality (CoPQ). The CoPQ quantifies the money lost as the result of defects and problems. It is essentially the cost of the defect or problem that has been identified in the process. It also refers to the overall cost of whatever defects are present in the process. Hence, various types of costs associated with quality are taken up for discussion in this chapter.

Suggested Citation

  • K. Muralidharan, 2015. "Sigma Level Estimation," Springer Books, in: Six Sigma for Organizational Excellence, edition 127, chapter 0, pages 501-515, Springer.
  • Handle: RePEc:spr:sprchp:978-81-322-2325-2_12
    DOI: 10.1007/978-81-322-2325-2_12
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-81-322-2325-2_12. 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.