IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-56988-3_10.html
   My bibliography  Save this book chapter

Systems Dynamics and Project Rework Cycle Model

In: Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty

Author

Listed:
  • Yuri G. Raydugin

    (Risk Services & Solutions Inc.)

Abstract

Systems thinking and dynamics have played a supportive role in development of the nonlinear Monte Carlo methodology, which domiciles in the Monte Carlo modelling platform. In turn, systems dynamics could come to the fore as a primary modelling approach that could take usual project risks and their interactions into account without any Monte Carlo modelling. A so-called project rework cycle model is used as a starting point. It could be understood as a project workflow model with feedback loops representing reworks due to poor work quality. It recognizes only quality risks. The challenge to consistently add all other relevant project risks to the rework cycle model is met in this chapter. Generic systems dynamics modelling principles are introduced in this chapter. (Besides the rework cycle modelling they are used for exploratory modelling and scenario development when dealing with future states of external project environment (Chap. 11 ).) An upgraded rework cycle model that can include any project risks is put forward. A pertaining case study mimics schedule results of the N-SCRA modelling case. This demonstrates that nonlinear Monte Carlo and systems dynamics models may produce comparable results based on the same systems dynamics principles.

Suggested Citation

  • Yuri G. Raydugin, 2024. "Systems Dynamics and Project Rework Cycle Model," Springer Books, in: Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty, chapter 0, pages 291-322, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-56988-3_10
    DOI: 10.1007/978-3-031-56988-3_10
    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:sprchp:978-3-031-56988-3_10. 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.