IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-13-9306-8_7.html
   My bibliography  Save this book chapter

Sampling Plans Using Process Capability Index (PCI)

In: Testing and Inspection Using Acceptance Sampling Plans

Author

Listed:
  • Muhammad Aslam

    (King Abdulaziz University, Department of Statistics, Faculty of Science)

  • Mir Masoom Ali

    (Ball State University, Department of Mathematical Sciences)

Abstract

The Process Capability Index (PCI) has been widely used in the industry to manage the quality of product. It has become an important tool of Statistical Process Control (SPC) for the continuous improvement of the quality. The PCIs are used to make a relationship between process quality and specifications limits and take into consideration both magnitude of process variance and process departure from the average. The PCIs are very useful to specify the number of non-conforming per million. The traditional sampling plans as mentioned in above chapters do not consider specifications limits to make final decision about the submitted lot of product. So, these plans can be used when the aim is to monitoring or inspection of lot through PCIs. Incorporating PCIs in the sampling plan makes it more attractive for the lot inspection where upper and lower specifications are given by the customer or producer or both. Thus, the aim of this chapter is to introduce some sampling plans using PCIs and application in the industry. So, in this chapter, we will focus on some latest sampling schemes using PCIs such as Repetitive Sampling using PCI, Resubmitted sampling using PCIs and some mixed plans using PCIs.

Suggested Citation

  • Muhammad Aslam & Mir Masoom Ali, 2019. "Sampling Plans Using Process Capability Index (PCI)," Springer Books, in: Testing and Inspection Using Acceptance Sampling Plans, chapter 0, pages 201-230, Springer.
  • Handle: RePEc:spr:sprchp:978-981-13-9306-8_7
    DOI: 10.1007/978-981-13-9306-8_7
    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

    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:978-981-13-9306-8_7. 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.