IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-256-9_8.html

Multi-Project Information Management Platform Based on PDIE System

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Dongsheng Li

    (China Coal Technology & Engineering Group, Drilling Equipment and Technology R&D Center, Xi’an Research Institute Co., LTD.)

Abstract

In order to solve the information management problem of enterprise project R&D, the work breakdown structure (WBS) method is used to decompose the product development process in three levels. PDIE platform construction is carried out based on the three-level process, so as to achieve management synergy, technical synergy and knowledge inheritance. Establish a standardized project R&D process and form a process template to realize internal work collaboration and data collaboration within the unit. Integrating elements related to tasks in each phase of the project in the form of work packages, providing engineers with work wizards and quality specifications, and realizing technical synergy in each phase of product development. The management synergy of project management elements such as schedule, quality, cost and risk are realized in the whole process of product development. Knowledge management system is established, and the effective accumulation and reuse of core knowledge of the enterprise is realized through the construction of knowledge engineering system. Through the practical application of several projects in scientific research, the effectiveness of the platform has been verified and the purpose of digital management of enterprise network projects has been realized.

Suggested Citation

  • Dongsheng Li, 2024. "Multi-Project Information Management Platform Based on PDIE System," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 70-77, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_8
    DOI: 10.2991/978-94-6463-256-9_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:advbcp:978-94-6463-256-9_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.