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On the use of the ‘Return Of Safety Investments’ (ROSI) measure for decision-making in the chemical processing industry

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  • Abrahamsen, Eirik Bjorheim
  • Selvik, Jon TømmerÃ¥s
  • Milazzo, Maria Francesca
  • Langdalen, Henrik
  • Dahl, Roy Endre
  • Bansal, Surbhi
  • Abrahamsen, HÃ¥kon Bjorheim

Abstract

Due to the high potential of chemical and process industry to damage people, as well as to cause environmental contamination, there is a need of objective criteria and methods supporting plant operators to make decisions and optimise investments in safety measures. Currently, the use of risk-based approaches is popular in order to prioritize criticalities, based on the results of risk assessments; this approach is usually combined with cost-benefit analyses that provide criterions in the decision-making process. A commonly used framework to prioritise safety measures is based on the calculation of the return of safety investments (ROSI), which quantifies the expected return of the investment in safety with respect to the invested resources. In this paper the usefulness of such a framework is discussed and the need for an extension is shown using a case-study from the chemical processing industry. The study concluded that the ROSI should be used with caution, because it does not give a sufficient weight to uncertainties as it is based on the use of expected values. Some improvements to the framework are suggested, i.e. the assessment of ROSI given an accidental event and to highlight the importance of reflecting the strength of knowledge on which the ROSI metric is based.

Suggested Citation

  • Abrahamsen, Eirik Bjorheim & Selvik, Jon TømmerÃ¥s & Milazzo, Maria Francesca & Langdalen, Henrik & Dahl, Roy Endre & Bansal, Surbhi & Abrahamsen, HÃ¥kon Bjorheim, 2021. "On the use of the ‘Return Of Safety Investments’ (ROSI) measure for decision-making in the chemical processing industry," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
  • Handle: RePEc:eee:reensy:v:210:y:2021:i:c:s0951832021000958
    DOI: 10.1016/j.ress.2021.107537
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    References listed on IDEAS

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    1. Terje Aven, 2018. "An Emerging New Risk Analysis Science: Foundations and Implications," Risk Analysis, John Wiley & Sons, vol. 38(5), pages 876-888, May.
    2. Abrahamsen, Eirik Bjorheim & Abrahamsen, Håkon Bjorheim & Milazzo, Maria Francesca & Selvik, Jon Tømmerås, 2018. "Using the ALARP principle for safety management in the energy production sector of chemical industry," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 160-165.
    3. Durbach, Ian N. & Stewart, Theodor J., 2009. "Using expected values to simplify decision making under uncertainty," Omega, Elsevier, vol. 37(2), pages 312-330, April.
    4. Eirik Bjorheim Abrahamsen & Jon Tømmerås Selvik & Hallvard Berg, 2016. "Prioritising of safety measures in land use planning: on how to merge a risk-based approach with a cost-benefit analysis approach," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 6(3), pages 182-196.
    5. Eirik Bjorheim Abrahamsen & Kenneth Pettersen & Terje Aven & Mareile Kaufmann & Tony Rosqvist, 2017. "A framework for selection of strategy for management of security measures," Journal of Risk Research, Taylor & Francis Journals, vol. 20(3), pages 404-417, March.
    6. Corbet, Shaen & Larkin, Charles & McMullan, Caroline, 2018. "Chemical industry disasters and the sectoral transmission of financial market contagion," Research in International Business and Finance, Elsevier, vol. 46(C), pages 490-501.
    7. Aven, Terje, 2013. "Practical implications of the new risk perspectives," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 136-145.
    8. Terje Aven & Ortwin Renn, 2010. "Risk Management and Governance," Risk, Governance and Society, Springer, number 978-3-642-13926-0, March.
    9. Bassi, Andrea M. & Tan, Zhuohua & Mbi, Armstrong, 2012. "Estimating the impact of investing in a resource efficient, resilient global energy-intensive manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 69-84.
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    Cited by:

    1. Guo, Xiaoxue & Ding, Long & Ji, Jie & Cozzani, Valerio, 2022. "A cost-effective optimization model of safety investment allocation for risk reduction of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    2. Lili Zhang & Wenhao Guo, 2023. "Inverse Optimization Method for Safety Resource Allocation and Inferring Cost Coefficient Based on a Benchmark," Mathematics, MDPI, vol. 11(14), pages 1-15, July.

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