Advertisement

A Decision Support Framework for Crisis Management

  • Daouda KamissokoEmail author
  • Pascale Zaraté
  • François Pérès
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 184)

Abstract

This paper deals with the development of a Decision Support System (DSS) for infrastructure network vulnerability analysis in the natural disaster context. The developed DSS named VESTA supports dynamic modelling and interdependence modelling. The issues in this particular decision context are identified. Characteristics to be respected and the software architecture are also presented. The strengths of the DSS and its functionalities are highlighted. It calculates parameters by a simulation based on a vulnerability model. This paper discusses the implementation granularities of and the use of such a DSS.

Keywords

Decision Support System UML Database Disaster Infrastructure Network Vulnerability 

References

  1. 1.
    Hellstom, P., Kvist, T.: Evaluation of decision support modules and human interfaces using the TopSim simulator. Presented at the 5th world congress on railway research (WCRR 2001), Cologne, Germany (2001)Google Scholar
  2. 2.
    Leung, Y., Shatin, N.T.: Intelligent Spatial Decision Support Systems. Springer, Berlin (1997)CrossRefzbMATHGoogle Scholar
  3. 3.
    Wallace, W.A., Balogh, F.D.: Decision support systems for disaster management. Public Admin. Rev. 45, 134–146 (1985)CrossRefGoogle Scholar
  4. 4.
    Sprague, R.H., Carlson, E.D.: Building Effective Decision Support Systems. Prentice-Hall, Englewood Cliffs (1982)Google Scholar
  5. 5.
    Sprague, R.H.: A framework for the development of decision support systems. MIS Q. 4(4), 1–26 (1980)CrossRefGoogle Scholar
  6. 6.
    Snediker, D.E., Murray, A.T., Matisziw, T.C.: Decision support for network disruption mitigation. Decis. Support Syst. 44(4), 954–969 (2008)CrossRefGoogle Scholar
  7. 7.
    Balsamiq Mockups. http://www.balsamiq.com/. Accessed 09 Apr 2013
  8. 8.
    Eclipse Java EE IDE for Web Developers. http://www.eclipse.org/. Accessed 09 Apr 2013
  9. 9.
    Roques, P.: UML 2 par la pratique: études de cas et exercices corrigés. Eyrolles (2009)Google Scholar
  10. 10.
    StarUML, The Open Source UML/MDA Platform. http://staruml.sourceforge.net/en/. Accessed 10 Apr 2013
  11. 11.
    Kamissoko, D., Pérès, F., Zaraté, P.: Technological networks robustness and resilience assessment. Presented at the 5th international conference on industrial engineering and systems management, Rabat, Morocco (2013)Google Scholar
  12. 12.
    Kamissoko, D., Pérès, F., Zaraté, P.: Infrastructure network vulnerability. Presented at the 20th IEEE international conference on collaboration technologies and infrastructures, Paris (2011)Google Scholar
  13. 13.
    JUNG, Java Universal Network/Graph Framework. http://jung.sourceforge.net/index.html. Accessed 10 Apr 2013
  14. 14.
    Cioca, M., Cioca, L.-I.: Decision Support Systems Used in Disaster Management. InTech, London (2010)Google Scholar
  15. 15.
    Shim, J.P., Warkentin, M., Courtney, J.F., Power, D.J., Sharda, R., Carlsson, C.: Past, present, and future of decision support technology. Decis. Support Syst. 33(2), 111–126 (2002)CrossRefGoogle Scholar
  16. 16.
    Eom, S., Kim, E.: A survey of decision support system applications (1995–2001). J. Oper. Res. Soc. 57(11), 1264–1278 (2005)CrossRefGoogle Scholar
  17. 17.
    Asghar, S., Alahakoon, D., Churilov, L.: A dynamic integrated model for disaster management decision support systems. Int. J. Simul. Syst. Sci. Technol. 6(10–11), 95–114 (2005)Google Scholar
  18. 18.
    Kamissoko, D.: Decision support for infrastructure network vulnerability assessment in natural disaster crisis situations. Doctorate, University of Toulouse, University of Toulouse 1 Capitole (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Daouda Kamissoko
    • 1
    Email author
  • Pascale Zaraté
    • 2
  • François Pérès
    • 1
  1. 1.IRIT/SMACToulouse Cedex 9France
  2. 2.TarbesFrance

Personalised recommendations