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A semi-quantitative assessment process for improved use of the expected value of information measure in safety management

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  • Bjørnsen, Kjartan
  • Selvik, Jon TømmerÃ¥s
  • Aven, Terje

Abstract

For safety-related decision problems, investment in reliability information could lead to more informed decision-making. The investment in such information could add value by allowing for reduction and prevention of failures and errors leading to adverse events, depending on whether the additional information is worth the acquisition cost. A common measure used to assess this is the expected value of information (EVOI). However, the traditional EVOI approach has limitations in the way it reflects risks and uncertainties. In particular, the traditional approach of expressing the uncertainties exclusively with probabilities could fail to reflect important aspects of risk related to the strength of the background knowledge on which the probabilities are conditioned (e.g. assumptions and models). An extended, semi-quantitative, approach is suggested, which allows for improved decision-making in the sense that aspects of knowledge strength are included in the decision basis. The article illustrates how the extended approach can improve EVOI assessment in safety management by using an example where there exist an option of acquiring human reliability information prior to a decision between alternative safety educational programs.

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  • Bjørnsen, Kjartan & Selvik, Jon TømmerÃ¥s & Aven, Terje, 2019. "A semi-quantitative assessment process for improved use of the expected value of information measure in safety management," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 494-502.
  • Handle: RePEc:eee:reensy:v:188:y:2019:i:c:p:494-502
    DOI: 10.1016/j.ress.2019.03.035
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    1. Dubois, Didier, 2006. "Possibility theory and statistical reasoning," Computational Statistics & Data Analysis, Elsevier, vol. 51(1), pages 47-69, November.
    2. Zitrou, A. & Bedford, T. & Daneshkhah, A., 2013. "Robustness of maintenance decisions: Uncertainty modelling and value of information," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 60-71.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    4. Xiaoyi Liu & Jonghyun Lee & Peter Kitanidis & Jack Parker & Ungtae Kim, 2012. "Value of Information as a Context-Specific Measure of Uncertainty in Groundwater Remediation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1513-1535, April.
    5. Nicola Pedroni & Enrico Zio & Alberto Pasanisi & Mathieu Couplet, 2017. "A critical discussion and practical recommendations on some issues relevant to the non-probabilistic treatment of uncertainty in engineering risk assessment," Post-Print hal-01652230, HAL.
    6. Arouri, Mohamed & Teulon, Frédéric & Rault, Christophe, 2013. "Equity risk premium and regional integration," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 79-85.
    7. Roger Flage & Terje Aven & Enrico Zio & Piero Baraldi, 2014. "Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1196-1207, July.
    8. Aven, Terje, 2013. "Practical implications of the new risk perspectives," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 136-145.
    9. Vinnem, Jan Erik, 2010. "Risk analysis and risk acceptance criteria in the planning processes of hazardous facilities—A case of an LNG plant in an urban area," Reliability Engineering and System Safety, Elsevier, vol. 95(6), pages 662-670.
    10. Fumie Yokota & Kimberly M. Thompson, 2004. "Value of Information Analysis in Environmental Health Risk Management Decisions: Past, Present, and Future," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 635-650, June.
    11. Berner, C. & Flage, R., 2016. "Strengthening quantitative risk assessments by systematic treatment of uncertain assumptions," Reliability Engineering and System Safety, Elsevier, vol. 151(C), pages 46-59.
    12. Maxine E. Dakins & John E. Toll & Mitchell J. Small & Kevin P. Brand, 1996. "Risk‐Based Environmental Remediation: Bayesian Monte Carlo Analysis and the Expected Value of Sample Information," Risk Analysis, John Wiley & Sons, vol. 16(1), pages 67-79, February.
    13. Nicola Pedroni & Enrico Zio & Alberto Pasanisi & Mathieu Couplet, 2017. "A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1315-1340, July.
    14. Fumie Yokota & George Gray & James K. Hammitt & Kimberly M. Thompson, 2004. "Tiered Chemical Testing: A Value of Information Approach," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1625-1639, December.
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    Cited by:

    1. Straub, Daniel & Ehre, Max & Papaioannou, Iason, 2022. "Decision-theoretic reliability sensitivity," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    2. Song, Chaolin & Zhang, Chi & Shafieezadeh, Abdollah & Xiao, Rucheng, 2022. "Value of information analysis in non-stationary stochastic decision environments: A reliability-assisted POMDP approach," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Zhu, Tiantian & Haugen, Stein & Liu, Yiliu & Yang, Xue, 2023. "A value of prediction model to estimate optimal response time to threats for accident prevention," Reliability Engineering and System Safety, Elsevier, vol. 232(C).

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