Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix

Year : 2025 | Volume :12 | Issue : 01 | Page : 34-46
    By

    Umang. R. Raichura,

  • Ayush R. Patel,

  • Ditsa D. Chavda,

  • Tirthrajsinh U. Chouhan,

  • Dhrumil Chauhan,

  • Amit N. Bhavsar,

  • Nekzad F. Umrigar,

Abstract

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Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study systematically identifies, analyses, and prioritizes risks based on their likelihood and impact. The use of FMEA emphasizes quantifiable risk assessment through Risk Priority Numbers (RPNs), while FTA offers a structured, root-cause analysis framework for understanding failure events. A significant aspect of this study is the innovative utilization of software tools such as Power BI and Microsoft Visio, which enhance data representation, visualization, and collaboration. Power BI excels at creating user-friendly dashboards that provide real-time insights into potential risks, enabling proactive identification and response. Meanwhile, Microsoft Visio facilitates the creation of detailed diagrams that visually depict complex risk interdependencies. These diagrams serve as valuable communication tools, fostering a shared understanding of risk dynamics among all stakeholders. By effectively leveraging these tools, the project significantly improves decision-making processes and empowers stakeholders to formulate and implement actionable risk mitigation strategies. The analysis identifies significant challenges, including delays in obtaining environmental clearances, land acquisition hurdles, and unexpected natural events such as cyclones and heavy rainfall. The results emphasize the need for a comprehensive risk management framework that addresses financial and physical risks in an integrated manner rather than in isolation. This approach provides actionable strategies for optimizing resource allocation, reducing cost overruns, and ensuring the timely completion of projects. This work not only serves as a practical guide for managing risks in road and infrastructure projects but also emphasizes the broader implications for the civil engineering industry. The proposed methodologies and tools can drive more efficient, cost-effective, and resilient infrastructure development. Moreover, the recommendations encourage a culture of risk awareness and proactive planning, which are essential for sustainable growth in the sector.

Keywords: Infrastructure projects, civil engineering, physical risks, financial risks, risk management, failure mode and effects analysis (FMEA), fault tree analysis (FTA), risk matrix, regression analysis, risk priority numbers (RPNS), software tools, Power Bi, Microsoft Visio, risk mitigation strategies, risk awareness, proactive planning

[This article belongs to Journal of Structural Engineering and Management (josem)]

How to cite this article:
Umang. R. Raichura, Ayush R. Patel, Ditsa D. Chavda, Tirthrajsinh U. Chouhan, Dhrumil Chauhan, Amit N. Bhavsar, Nekzad F. Umrigar. Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix. Journal of Structural Engineering and Management. 2025; 12(01):34-46.
How to cite this URL:
Umang. R. Raichura, Ayush R. Patel, Ditsa D. Chavda, Tirthrajsinh U. Chouhan, Dhrumil Chauhan, Amit N. Bhavsar, Nekzad F. Umrigar. Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix. Journal of Structural Engineering and Management. 2025; 12(01):34-46. Available from: https://journals.stmjournals.com/josem/article=2025/view=0

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References

  1. Wahbi Albasyouni, Ibrahim Abotaleb, Khaled Nassar. Proposing the Use of Failure Mode and Effect Analysis (FMEA) as Risk Assessment Tool in Construction. International Journal of Innovative Technology and Exploring Engineering (IJITEE). 2023; 12(12): 6–14.
  2. Siu MF, Ekyalimpa R, Lu M, Abourizk S. (University of Alberta, Edmonton, Alberta, Canada). Applying Regression Analysis to Predict and Classify Construction Cycle Time. ASCE International Workshop on Computing in Civil Engineering. 2013; 669–676.
  3. Wessiani NA, Yoshio F. Failure mode effect analysis and fault tree analysis as a combined methodology in risk management. IOP Conf Ser: Mater Sci Eng; IOP Publishing. 2017; 337: 012033.
  4. Angeline Swarna M, Venkatakrishnaiah R. Fault Tree Analysis in Construction Industry for Risk Management. IJCSEIERD; ISRJournals and Publications. 2014; 2(1): 15–21.
  5. Rifat Sonmez. (Middle East Technical University, Ankara 06531, Turkey). Conceptual cost estimation of building projects with regression analysis and neural networks. Can J Civ Eng. 2004; 31(4): 677–683.
  6. Agnieszka Dziadosza, Mariusz Rejmentb. Risk analysis in construction project – chosen methods. Elsevier Ltd.; Procedia Eng. 2015; 122: 258–265.
  7. Bagus Wickra Dytha, Tatang Akhmad Taufik. Risk analysis using risk failure mode and effect in implementation of integrated digital reporting with power bi dashboard, The 7th International Conference on Management of Technology. 2023.
  8. Lefayet Sultan Lipol, Jahirul Haq. Risk analysis method: FMEA/FMECA in the organizations. International Journal of Basic & Applied Sciences (IJBAS-IJENS). 2011; 11(05): 49–57.
  9. Infrastructure Risk Group. Managing Cost Risk & Uncertainty in Infrastructure Projects Leading Practice and Improvement: Report from the Infrastructure Risk Group. 2013.
  10. Victor Andre Ariza Flores, Victor Andre Ariza Flores, Victor Andre Ariza Flores. Enhancing Risk Management in Road Infrastructure Facing Flash Floods through Epistemological Approaches. 2024; 14(7): 1931.
  11. Nolberto Munier. Risk Management for Engineering Projects. Cham: Springer; 2014.
  12. Erica Caetano Roos, Joana Siqueira de Souza, Francisco Jos´e Kliemann Neto. Project risks and regulation in transport infrastructure: A study in Brazilian agencies concessions planning process. Transportation Research Interdisciplinary Perspectives (TRIP). 2024; 23:
  13. Akoh Sani Reuben. Risk management framework for highway construction projects in Nigeria. Thesis. Heriot-Watt University; 2018.
  14. Ashley David B, Diekmann James E, Molenaar Keith R. Guide to Risk Assessment and Allocation for Highway Construction Management. US Department of Transportation; 2006 Oct
  15. Zhang G, Zou PXW. Fuzzy Analytical Hierarchy Process Risk Assessment Approach for Joint Venture Construction Projects in China. J Constr Eng Manag. 2007; 133(10): 771–779.
  16. Office of Government Commerce. Managing Successful Projects with PRINCE2. The Stationery Office;
  17. Mohamed M, Janaka R, George J. CTAN for Risk Assessments Using Multilevel Stochastic Networks. J Constr Eng Manag. 2007; 133(1): 96–101.
  18. Paslawski J. Flexibility as risk management option implemented in the bridge repair. Balt J Road Bridge Eng. 2011; (4): 258–266.
  19. Raftery J. Risk analysis in project management. London: E. and F. N. Spon, Routledge; 1994.
  20. Gupta S, Prasad S. Impact of digital transformation on organizational performance: A conceptual framework. Int J Bus Manag. 2020;15(5):12–25.
  21. Westerman G, Bonnet D, McAfee A. Leading digital: Turning technology into business transformation. Boston: Harvard Business Review Press; 2014.
  22. Matt C, Hess T. Digital Transformation Strategies. Bus Inf Syst Eng. 2015; 57(5): 339–343.
  23. Stamatis DH. Risk Management Using Failure Mode and Effects Analysis. 2nd ed. Milwaukee (WI): American Society for Quality; 2019. p. 45–67.
  24. Kerzner Harold. Project Management: A Systems Approach to Planning, Scheduling, and Controlling. 8th Edn. John Wiley & Sons; 2002.
  25. Project Management Institute. A Guide to the Project Management Body of Knowledge (PMBOK Guide). Project Management Institute; 2000.

Regular Issue Subscription Original Research
Volume 12
Issue 01
Received 23/12/2024
Accepted 06/01/2025
Published 17/01/2025