IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-0-306-48102-4_15.html
   My bibliography  Save this book chapter

Affordable Upgrades of Complex Systems: A Multilevel, Performance-Based Approach

In: Modeling Uncertainty

Author

Listed:
  • James A. Reneke

    (Clemson University)

  • Matthew J. Saltzman

    (Clemson University)

  • Margaret M. Wiecek

    (Clemson University)

Abstract

A modeling and methodological approach to complex system decision making is proposed. A system is modeled as a multilevel network whose components interact and decisions on affordable upgrades of the components are to be made under uncertainty. The system is studied within a framework of overall performance analysis in a range of exogenous environments and in the presence of random inputs. The methodology makes use of stochastic analysis and multiple-criteria decision analysis. An illustrative example of upgrading an idealized industrial production system with complete computations is included.

Suggested Citation

  • James A. Reneke & Matthew J. Saltzman & Margaret M. Wiecek, 2002. "Affordable Upgrades of Complex Systems: A Multilevel, Performance-Based Approach," International Series in Operations Research & Management Science, in: Moshe Dror & Pierre L’Ecuyer & Ferenc Szidarovszky (ed.), Modeling Uncertainty, chapter 0, pages 301-331, Springer.
    • Handle: RePEc:spr:isochp:978-0-306-48102-4_15
    DOI: 10.1007/0-306-48102-2_15
    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:isochp:978-0-306-48102-4_15. 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.