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Risk-informed decision making for high-consequence outcomes

  • Curtis Smith
  • , Kurt Vedros

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The issues faced during the operation of high-consequence facilities or systems require a blended quantitative and qualitative risk-informed approach to decision-making. For example, in the case of the operation of nuclear power plants or manned space missions, a risk-informed metric one might consider is the probability of loss of the plant or failure of the mission, where this probability is balanced by the consequences of the event. However, as we will discuss, one should focus on the observable event itself (e.g., the actual loss or failure) rather than the probability of the event. We will describe the general approach of making probabilistic decisions, including the focus on predictive distributions for outcomes such as a complex system failure.

Original languageEnglish
Title of host publicationNew Developments in Simulation Methods and Software for Engineering Applications; Safety Engineering, Risk Analysis and Reliability Methods; Transportation Systems
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages273-278
Number of pages6
ISBN (Print)9780791844489
DOIs
StatePublished - 2010
EventASME 2010 International Mechanical Engineering Congress and Exposition, IMECE 2010 - Vancouver, BC, Canada
Duration: Nov 12 2010Nov 18 2010

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume11

Conference

ConferenceASME 2010 International Mechanical Engineering Congress and Exposition, IMECE 2010
Country/TerritoryCanada
CityVancouver, BC
Period11/12/1011/18/10

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