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A value of prediction model to estimate optimal response time to threats for accident prevention

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  • Zhu, Tiantian
  • Haugen, Stein
  • Liu, Yiliu
  • Yang, Xue

Abstract

This paper presents a novel value of (imperfect) prediction (VoP) model to estimate optimal response time to a threat that may result in an accident. The proposed VoP model is based on information value theory and considers both prediction accuracy and action failure probability over time. The optimal response time is dependent on parameters: the ratio between the accident cost and response action cost, accident probability, action failure probability, prediction performance, and response strategy (a series of sequential responses or a single response). A case study of iceberg management is presented to demonstrate the proposed approach; a sensitivity study is done to evaluate how optimal response time changes with those parameters. The case study show that it is reasonable to respond as early as possible if the threat can lead to a serious accident, while the response can be postponed when the potential consequence is moderate. In addition, the proposed VoP model is proven able to calculate accuracy requirements, thresholds for tolerating risk and acting precautionarily, and maximum investment in accident prevention. Imperfect prediction can lower risk acceptance threshold and higher the threshold of being precautionary; and it is reasonable to increase action cost.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:232:y:2023:i:c:s0951832022006597
    DOI: 10.1016/j.ress.2022.109044
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    1. Drew Fudenberg & Philipp Strack & Tomasz Strzalecki, 2018. "Speed, Accuracy, and the Optimal Timing of Choices," American Economic Review, American Economic Association, vol. 108(12), pages 3651-3684, December.
    2. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    3. Emanuele Borgonovo, 2017. "Value of Information," International Series in Operations Research & Management Science, in: Sensitivity Analysis, chapter 0, pages 93-100, Springer.
    4. Per Sandin & Martin Peterson & Sven Ove Hansson & Christina Rudén & André Juthe, 2002. "Five charges against the precautionary principle," Journal of Risk Research, Taylor & Francis Journals, vol. 5(4), pages 287-299, October.
    5. Hogenboom, Sandra & Parhizkar, Tarannom & Vinnem, Jan Erik, 2021. "Temporal decision-making factors in risk analyses of dynamic positioning operations," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    6. Jörg Breitung & Malte Knüppel, 2021. "How far can we forecast? Statistical tests of the predictive content," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 369-392, June.
    7. Bjørnsen, Kjartan & Selvik, Jon Tømmerås & 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.
    8. 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).
    9. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    10. Yuan, Xian-Xun & Higo, Eishiro & Pandey, Mahesh D., 2021. "Estimation of the value of an inspection and maintenance program: A Bayesian gamma process model," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    11. Cremen, Gemma & Bozzoni, Francesca & Pistorio, Silvia & Galasso, Carmine, 2022. "Developing a risk-informed decision-support system for earthquake early warning at a critical seaport," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    12. Emanuele Borgonovo & Alessandra Cillo, 2017. "Deciding with Thresholds: Importance Measures and Value of Information," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1828-1848, October.
    13. Straub, Daniel & Ehre, Max & Papaioannou, Iason, 2022. "Decision-theoretic reliability sensitivity," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    14. Gong, Yu & Liu, Pan & Zhang, Jun & Liu, Dedi & Zhang, Xiaoqi & Zhang, Xiaojing, 2020. "Considering different streamflow forecast horizons in the quantitative flood risk analysis for a multi-reservoir system," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    15. Chadha, Mayank & Ramancha, Mukesh K. & Vega, Manuel A. & Conte, Joel P. & Todd, Michael D., 2023. "The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    Full references (including those not matched with items on IDEAS)

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