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Structured risk management: filling a gap in decision analysis education

Author

Listed:
  • K Chelst

    (Wayne State University)

  • S E Bodily

    (University of Virginia)

Abstract

Risk management is a standard management tool that does not generally appear in decision analysis textbooks nor is it explicitly cited as part of the standard decision-analysis paradigm. In contrast, risk management articles and books describe how decision trees can be used to evaluate specific risk management strategies. In this paper we describe a series of steps that should be a routine part of every decision tree analysis. They are designed to assess the expected value of developing a risk management strategy with regard to different aspects of uncertainty. The method is intended to trigger a focused brainstorming session to search for specific strategies to manage targeted risks. The procedure adds structure to the value-enhancing dimension of decision analysis that creates new strategies with less risk and higher expected values. The material presented here can easily be incorporated into even an overview of decision analysis in a survey class of operational research.

Suggested Citation

  • K Chelst & S E Bodily, 2000. "Structured risk management: filling a gap in decision analysis education," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(12), pages 1420-1432, December.
  • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:12:d:10.1057_palgrave.jors.2601034
    DOI: 10.1057/palgrave.jors.2601034
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    Cited by:

    1. Soumyadeb Chowdhury & Oscar Rodriguez-Espindola & Prasanta Dey & Pawan Budhwar, 2023. "Blockchain technology adoption for managing risks in operations and supply chain management: evidence from the UK," Annals of Operations Research, Springer, vol. 327(1), pages 539-574, August.
    2. M Pidd, 2010. "Why modelling and model use matter," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 14-24, January.

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