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A resilience assessment framework for complex engineered systems using graphical evaluation and review technique (GERT)

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  • Geng, Sunyue
  • Yang, Ming
  • Mitici, Mihaela
  • Liu, Sifeng

Abstract

System resilience characterizes the capability of maintaining the required functionality under disruptions, which is of great significance in evaluating the productivity and safety of complex engineered systems. Although most studies conduct resilience assessment from qualitative and quantitative perspectives, system functionality that reflects functional requirements for complex engineered systems needs to be elaborated. In addition, given that complex engineered systems achieve dynamic performance during disruptions, measuring the actual performance under uncertainty is imperative. To this end, this paper develops a quantitative framework to assess the resilience of complex engineered systems. The developed framework comprises three phases, functionality analysis, performance evaluation, and resilience assessment. Firstly, system functionality is analyzed using a functional tree illustrating the relationship between functions. The overall objective, primary functions, and sub-functions are identified according to task requirements. Secondly, system performance is quantified considering uncertain factors through Graphical Evaluation and Review Technique (GERT). Probabilistic branches and network logic are employed to represent the implementation of various functions. Finally, resilience assessment is carried out from the perspectives of anticipation, absorption, adaptation, and restoration abilities. A case study on the satellite network shows the effectiveness of the developed framework. The developed framework determines system functionality based on task requirements, evaluates system performance with limited information, and accurately assesses system resilience.

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  • Geng, Sunyue & Yang, Ming & Mitici, Mihaela & Liu, Sifeng, 2023. "A resilience assessment framework for complex engineered systems using graphical evaluation and review technique (GERT)," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002028
    DOI: 10.1016/j.ress.2023.109298
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    1. Yarveisy, Rioshar & Gao, Chuan & Khan, Faisal, 2020. "A simple yet robust resilience assessment metrics," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    2. Eric Specking & Bobby Cottam & Gregory Parnell & Edward Pohl & Matthew Cilli & Randy Buchanan & Zephan Wade & Colin Small, 2019. "Assessing Engineering Resilience for Systems with Multiple Performance Measures," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1899-1912, September.
    3. Hurford, A.P. & Harou, J.J. & Bonzanigo, L. & Ray, P.A. & Karki, P. & Bharati, L. & Chinnasamy, P., 2020. "Efficient and robust hydropower system design under uncertainty - A demonstration in Nepal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    4. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    5. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng & Gao, Su, 2021. "An agent-based clustering framework for reliable satellite networks," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    6. Moslehi, Salim & Reddy, T. Agami, 2018. "Sustainability of integrated energy systems: A performance-based resilience assessment methodology," Applied Energy, Elsevier, vol. 228(C), pages 487-498.
    7. Eric D. Vugrin & R. Chris Camphouse, 2011. "Infrastructure resilience assessment through control design," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 7(3), pages 243-260.
    8. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng & Gao, Su, 2021. "A reliable framework for satellite networks achieving energy requirements," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    9. Cai, Baoping & Xie, Min & Liu, Yonghong & Liu, Yiliu & Feng, Qiang, 2018. "Availability-based engineering resilience metric and its corresponding evaluation methodology," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 216-224.
    10. Nelson, Richard Graham & Azaron, Amir & Aref, Samin, 2016. "The use of a GERT based method to model concurrent product development processes," European Journal of Operational Research, Elsevier, vol. 250(2), pages 566-578.
    11. Portela, Maria Conceicao A. Silva & Thanassoulis, Emmanuel, 2007. "Comparative efficiency analysis of Portuguese bank branches," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1275-1288, March.
    12. Fang, Yi-Ping & Zio, Enrico, 2019. "An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1119-1136.
    13. Kammouh, Omar & Gardoni, Paolo & Cimellaro, Gian Paolo, 2020. "Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    14. Zhang, Xiaoge & Mahadevan, Sankaran & Sankararaman, Shankar & Goebel, Kai, 2018. "Resilience-based network design under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 364-379.
    15. Patriarca, Riccardo & De Paolis, Alessandro & Costantino, Francesco & Di Gravio, Giulio, 2021. "Simulation model for simple yet robust resilience assessment metrics for engineered systems," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    16. Cheng, Yao & Elsayed, E.A. & Chen, Xi, 2021. "Random Multi Hazard Resilience Modeling of Engineered Systems and Critical Infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
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    1. Caetano, Henrique O. & N., Luiz Desuó & Fogliatto, Matheus S.S. & Maciel, Carlos D., 2024. "Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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