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A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry

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  • Shirali, Gh.A.
  • Mohammadfam, I.
  • Ebrahimipour, V.

Abstract

In recent years, resilience engineering (RE) has attracted widespread interest from industry as well as academia because it presents a new way of thinking about safety and accident. Although the concept of RE was defined scholarly in various areas, there are only few which specifically focus on how to measure RE. Therefore, there is a gap in assessing resilience by quantitative methods. This research aimed at presenting a new method for quantitative assessment of RE using questionnaire and based on principal component analysis. However, six resilience indicators, i.e., top management commitment, Just culture, learning culture, awareness and opacity, preparedness, and flexibility were chosen, and the data related to those in the 11 units of a process industry using a questionnaire was gathered. The data was analyzed based on principal component analysis (PCA) approach. The analysis also leads to determination of the score of resilience indicators and the process units. The process units were ranked using these scores. Consequently, the prescribed approach can determine the poor indicators and the process units. This is the first study that considers a quantitative assessment in RE area which is conducted through PCA. Implementation of the proposed methods would enable the managers to recognize the current weaknesses and challenges against the resilience of their system.

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  • Shirali, Gh.A. & Mohammadfam, I. & Ebrahimipour, V., 2013. "A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 88-94.
    • Handle: RePEc:eee:reensy:v:119:y:2013:i:c:p:88-94
    DOI: 10.1016/j.ress.2013.05.003
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    Cited by:

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    2. Zahra Mohammadnazari & Amir Aghsami & Masoud Rabbani, 2023. "A hybrid novel approach for evaluation of resiliency and sustainability in construction environment using data envelopment analysis, principal component analysis, and mathematical formulation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4453-4490, May.
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    6. Mendes, Pietro A.S. & Hall, Jeremy & Matos, Stelvia & Silvestre, Bruno, 2014. "Reforming Brazil׳s offshore oil and gas safety regulatory framework: Lessons from Norway, the United Kingdom and the United States," Energy Policy, Elsevier, vol. 74(C), pages 443-453.
    7. Tomasz Ewertowski & Marcin Butlewski, 2021. "Development of a Pandemic Residual Risk Assessment Tool for Building Organizational Resilience within Polish Enterprises," IJERPH, MDPI, vol. 18(13), pages 1-14, June.
    8. Ali Azadeh & Mansoureh Hasannia Kolaee & Vahid Salehi, 2016. "The impact of redundancy on resilience engineering in a petrochemical plant by data envelopment analysis," Journal of Risk and Reliability, , vol. 230(3), pages 285-296, June.
    9. Bellamy, Linda J. & Chambon, Monique & van Guldener, Viola, 2018. "Getting resilience into safety programs using simple tools - a research background and practical implementation," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 171-184.
    10. Patriarca, Riccardo & Bergström, Johan & Di Gravio, Giulio, 2017. "Defining the functional resonance analysis space: Combining Abstraction Hierarchy and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 34-46.
    11. Ruiying Li & Xiaoyu Tian & Li Yu & Rui Kang, 2019. "A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    12. Zinetullina, Altyngul & Yang, Ming & Khakzad, Nima & Golman, Boris & Li, Xinhong, 2021. "Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    13. Seyed Mohammad Asadzadeh & Hadi Maleki & Mehrab Tanhaeean, 0. "A resilience engineering-based approach to improving service reliability in maintenance organizations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-14.
    14. Labaka, Leire & Hernantes, Josune & Sarriegi, Jose M., 2015. "Resilience framework for critical infrastructures: An empirical study in a nuclear plant," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 92-105.
    15. Wang, Nanxi & Wu, Min & Yuen, Kum Fai, 2023. "Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    16. Navid Salmanzadeh-Meydani & S. M. T. Fatemi Ghomi & Seyedhamidreza Shahabi Haghighi & Kannan Govindan, 2023. "A multivariate quantitative approach for sustainability performance assessment: An upstream oil and gas company," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2777-2807, March.
    17. Masoud Rabbani & Reza Yazdanparast & Mahdi Mobini, 2019. "An algorithm for performance evaluation of resilience engineering culture based on graph theory and matrix approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 228-241, April.
    18. Santos, Rachel Barbosa & de Oliveira, Ualison Rébula & Rocha, Henrique Martins, 2018. "Failure mapping for occupational safety management in the film and television industry," International Journal of Production Economics, Elsevier, vol. 203(C), pages 1-12.
    19. Seyed Mohammad Asadzadeh & Hadi Maleki & Mehrab Tanhaeean, 2020. "A resilience engineering-based approach to improving service reliability in maintenance organizations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(5), pages 909-922, October.
    20. Novak, Jeremy & Farr-Wharton, Ben & Brunetto, Yvonne & Shacklock, Kate & Brown, Kerry, 2017. "Safety outcomes for engineering asset management organizations: Old problem with new solutions?," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 67-73.
    21. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    22. Tomasz Ewertowski & Patryk Kuzminski, 2021. "OrgRes Diagnostic Tool for Organizational Resilience: The Case of a Polish Aviation Company during the Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 5), pages 122-139.
    23. Sungheon Lee & Jaehyun Kim & Awwal M. Arigi & Jonghyun Kim, 2022. "Identification of Contributing Factors to Organizational Resilience in the Emergency Response Organization for Nuclear Power Plants," Energies, MDPI, vol. 15(20), pages 1-24, October.
    24. Thomas Ying‐Jeh Chen & Valerie Nicole Washington & Terje Aven & Seth David Guikema, 2020. "Review and Evaluation of the J100‐10 Risk and Resilience Management Standard for Water and Wastewater Systems," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 608-623, March.
    25. Bergström, Johan & van Winsen, Roel & Henriqson, Eder, 2015. "On the rationale of resilience in the domain of safety: A literature review," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 131-141.

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