IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v51y2000i9d10.1057_palgrave.jors.2601007.html
   My bibliography  Save this article

Variable structure modelling of dynamic industry systems

Author

Listed:
  • K Christodoulou

    (City University Business School)

  • K Vlahos

    (London Business School)

Abstract

This paper argues for and develops a variable structure modelling methodology, that is one which treats individual players in an industry as agents and provides the means for agent entry and exit as well as evolution of their behaviour. The resulting simulation framework extends traditional industry dynamics approaches and object oriented simulation, unifies a number of concepts from software engineering, artificial intelligence and knowledge engineering and provides a rich, rule-based specification for describing a wide range of structural changes. The framework allows the evolution of both structure and behaviour over time and is especially suited for modelling dynamic industries and markets that can endogenously change their own structure. We demonstrate the features and power of the modelling platform with a stylised model of competition that extends earlier work in evolutionary economics and allows for firm entry and exit and outline a description of a business application to the telecommunications industry.

Suggested Citation

  • K Christodoulou & K Vlahos, 2000. "Variable structure modelling of dynamic industry systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(9), pages 1029-1040, September.
  • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:9:d:10.1057_palgrave.jors.2601007
    DOI: 10.1057/palgrave.jors.2601007
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601007
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/palgrave.jors.2601007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jahangirian, Mohsen & Eldabi, Tillal & Naseer, Aisha & Stergioulas, Lampros K. & Young, Terry, 2010. "Simulation in manufacturing and business: A review," European Journal of Operational Research, Elsevier, vol. 203(1), pages 1-13, May.

    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:pal:jorsoc:v:51:y:2000:i:9:d:10.1057_palgrave.jors.2601007. 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.palgrave-journals.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.