IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v35y2024i6d10.1007_s10845-023-02155-8.html
   My bibliography  Save this article

An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation

Author

Listed:
  • Chao-Chang Liao

    (National Taiwan University)

  • Chih-Ching Hsu

    (3Dfamily Technology Co. Ltd.)

  • Hong-Tsu Young

    (National Taiwan University)

  • Kuan-Ming Li

    (National Taiwan University)

Abstract

In this study an innovative integrated approach is proposed to develop a design schema for automatic defect detection system. This system has been successfully implemented in an empirical factory setting. In addition, this novel design has been authorized a new patent. This integrated methodology is literally comprised of vertical thinking mode coupled with lateral mode, which results a much better solution than employing traditional way alone. The vertical mode includes DMAIC, 8D methodology, and ECRS techniques. And the lateral counter-part consists of Design Thinking and 3I Design Methodology. The empirical implementation of this integrated approach focuses on the automated defect detection of manufacturing cell phone case. The patented novel design has been proven to be empirical efficacy and effectiveness. The testing results reveal considerable savings both in labor expenditures and reduced costs.

Suggested Citation

  • Chao-Chang Liao & Chih-Ching Hsu & Hong-Tsu Young & Kuan-Ming Li, 2024. "An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation," Journal of Intelligent Manufacturing, Springer, vol. 35(6), pages 2613-2624, August.
  • Handle: RePEc:spr:joinma:v:35:y:2024:i:6:d:10.1007_s10845-023-02155-8
    DOI: 10.1007/s10845-023-02155-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-023-02155-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10845-023-02155-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:joinma:v:35:y:2024:i:6:d:10.1007_s10845-023-02155-8. 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.