IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-7908-1687-7_8.html
   My bibliography  Save this book chapter

Reconsidering Control Charts in Japan

In: Frontiers in Statistical Quality Control 8

Author

Listed:
  • Ken Nishina

    (Nagoya Institute of Technology, Department of Techno-Business Administration)

  • Kazuyoshi Kuzuya

    (SQC Consultant)

  • Naru Ishii

    (Nagoya Institute of Technology, Department of Techno-Business Administration)

Abstract

Summary In this paper, the role of control charts is investigated by considering the practice of using Shewhart control charts from the following viewpoints: 1) Which rules should be used for detecting an assignable cause? 2) What should be considered as chance cause? 3) What should be selected as control characteristics? Woodall (2000) indicated that it is very important to distinguish between the use of control charts in Phase 1 and Phase 2. Considering the different aims of control charts in Phase 1 and Phase 2, we suggest how to use a set of eight pattern tests specified in ISO 8258: Shewhart control charts The improved machine performance by advanced production engineering results in a reduction of variability within a sub-group and a relatively high process capability. Despite, there are frequently alarms when using Shewhart control charts and this is one of the reason why control charts are not used in Japanese industry. For decreasing the false alarm rate, we propose to include a part of the variability between sub-groups into the variability due to chance causes. The complexity of quality characteristics to be assured has grown with the complexity of products. On the other hand, the advances in measurement technology enable to monitor almost every characteristics. Based on a case study we show that the characteristic to be assured must not necessarily be similar to the characteristic to be monitored.

Suggested Citation

  • Ken Nishina & Kazuyoshi Kuzuya & Naru Ishii, 2006. "Reconsidering Control Charts in Japan," Springer Books, in: Hans-Joachim Lenz & Peter-Theodor Wilrich (ed.), Frontiers in Statistical Quality Control 8, pages 136-150, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1687-7_8
    DOI: 10.1007/3-7908-1687-6_8
    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:978-3-7908-1687-7_8. 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.