IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-7908-2380-6_5.html
   My bibliography  Save this book chapter

Statistical Process Control for Semiconductor Manufacturing Processes

In: Frontiers in Statistical Quality Control 9

Author

Listed:
  • Masanobu Higashide

    (NEC Electronics Corp)

  • Ken Nishina

    (Nagoya Institute of Technology)

  • Hironobu Kawamura

    (Nagoya Institute of Technology)

  • Naru Ishii

    (Nagoya Institute of Technology)

Abstract

Summary This paper considers statistical process control (SPC) for the semiconductor manufacuturing industry, where automatic process adjustment and process maintenance are widely used. However, SPC has been developed in parts industry an, thus, application of SPC to chemical processes such as those in the semiconductor manufacuturinghas not been systematically investigated Two case studies are presented; one is an example for process adjustment and the other is an example for process maintenance. Either of them is based on control charts and it is discussed how to take into account process autocorrelation.

Suggested Citation

  • Masanobu Higashide & Ken Nishina & Hironobu Kawamura & Naru Ishii, 2010. "Statistical Process Control for Semiconductor Manufacturing Processes," Springer Books, in: Hans-Joachim Lenz & Peter-Theodor Wilrich & Wolfgang Schmid (ed.), Frontiers in Statistical Quality Control 9, pages 71-84, Springer.
  • Handle: RePEc:spr:sprchp:978-3-7908-2380-6_5
    DOI: 10.1007/978-3-7908-2380-6_5
    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:978-3-7908-2380-6_5. 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.