IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-77556-2_5.html
   My bibliography  Save this book chapter

Demand Engineering in Mass Customization Using Data-Driven Approach

In: Customization 4.0

Author

Listed:
  • Rui Xu

    (Stanford University)

  • Shuhui Qu

    (Stanford University)

  • Ying Liu

    (University of Chinese Academy of Sciences)

  • Jie Wang

    (Stanford University)

Abstract

This paper proposes a general process framework of demand engineering as a significant platform of connecting requirements specification as one side and smart factory as the other, which can be applied to all industries. Our framework performs a sequential methodology to solve existing and prospective mismatching problems between two sides. This mismatching misperceives requirements of the market and simultaneously induces huge waste of manufacturing resources, thus severely hampering the industry transformation into Industry 4.0. Affected by the diversity of industries, the requirements to what degree of transformation also varies. Therefore, different industries must clarify their demand for demand engineering.

Suggested Citation

  • Rui Xu & Shuhui Qu & Ying Liu & Jie Wang, 2018. "Demand Engineering in Mass Customization Using Data-Driven Approach," Springer Proceedings in Business and Economics, in: Stephan Hankammer & Kjeld Nielsen & Frank T. Piller & Günther Schuh & Ning Wang (ed.), Customization 4.0, pages 75-86, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-77556-2_5
    DOI: 10.1007/978-3-319-77556-2_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 search for a similarly titled item that would be available.

    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:prbchp:978-3-319-77556-2_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.