IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/218265.html
   My bibliography  Save this book chapter

Taguchi Method as a Robust Design Tool

In: Quality Control - Intelligent Manufacturing, Robust Design and Charts

Author

Listed:
  • Coskun Hamzacebi

Abstract

Taguchi Method is a powerful technique to optimize performance of the products or process. Taguchi's main purpose is to reduce the variability around the target value of product properties via a systematic application of statistical experimental design which called robust design. Robust Design is an important technique for product manufacturability and product life. Taguchi simplified the usage of orthogonal arrays to setup experimental design. Thanks to this development, researchers and engineers saved both time and money. Furthermore, Taguchi proposed the usage of S/N ratio in order to measure the effects of factors on the performance characteristics. In this study a brief knowledge about the Taguchi Method is given. Orthogonal Arrays and S/N ratios are described. Summary of a case study is given.

Suggested Citation

  • Coskun Hamzacebi, 2021. "Taguchi Method as a Robust Design Tool," Chapters, in: Pengzhong Li & Paulo Pereira & Helena V. G. Navas (ed.), Quality Control - Intelligent Manufacturing, Robust Design and Charts, IntechOpen.
  • Handle: RePEc:ito:pchaps:218265
    DOI: 10.5772/intechopen.94908
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/74437
    Download Restriction: no

    File URL: https://libkey.io/10.5772/intechopen.94908?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Taguchi method; robust design; orthogonal Array; S/N ratio; Pareto ANOVA;
    All these keywords.

    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

    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:ito:pchaps:218265. 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: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.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.