IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-3-662-53785-5_5.html
   My bibliography  Save this book chapter

Simulation of Supply Chain Risk

In: Enterprise Risk Management Models

Author

Listed:
  • David L. Olson

    (University of Nebraska)

  • Desheng Dash Wu

    (Stockholm University
    University of Chinese Academy of Sciences)

Abstract

Supply chains involve many risks. Modeling that risk focuses on probability, a well-developed analytic technique. Simulation is the most flexible management science modeling technique. It allows making literally any assumption you want, although the trade-off is that you have to work very hard to interpret results in a meaningful way relative to your decision. Because of the variability inherent in risk analysis, simulation is an obviously valuable tool for risk analysis. There are two basic simulation applications in business. Waiting line models involve queuing systems, and software such as Arena (or many others) are very appropriate for that type of modeling. The other type is supportable by spreadsheet tools such as Crystal Ball, demonstrated in this chapter. Spreadsheet simulation is highly appropriate for inventory modeling as in push/pull models. Spreadsheet models also are very useful for system dynamic simulations.

Suggested Citation

  • David L. Olson & Desheng Dash Wu, 2017. "Simulation of Supply Chain Risk," Springer Texts in Business and Economics, in: Enterprise Risk Management Models, edition 2, chapter 5, pages 55-73, Springer.
    • Handle: RePEc:spr:sptchp:978-3-662-53785-5_5
    DOI: 10.1007/978-3-662-53785-5_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:sptchp:978-3-662-53785-5_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.