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Risk Analysis of Infrastructure Projects - Case of Mumbai Metroline 1



The study attempts to identify key risk factors during the execution phase of the Elevated Mumbai Metro Project by administering a structured questionnaire to professionals with substantially long work experience on different projects and extensive review of academic and industry literature. The various risks identified are categorized as related to client, contractor, consultant, material, labour, equipment and external risks. They are further evaluated by applying Failure Mode and Effect Analysis along with Fuzzy Logic for computation of Risk Priority Number (RPN) to understand which risks are to be addressed on a high priority basis. Category-wise ranking is completed. It is observed that various contractor related issues need urgent attention, as RPN of contractor’s risk is observed to be relatively higher than that of the client related and consultants related risks. Similarly, the risks related to material, labour, equipment and external factors also require immediate attention to ensure a smooth execution of the project.


project risk analysis; metro rail project; likelihood; impact; detection; Fuzzy; Severity; Expected Value Method (EVM); Failure Mode and Effect Analysis (FMEA)

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Gambatese JA, Behm M, Rajendran S. 2008. Design’s role in construction accident causality and prevention: Perspectives from an expert panel. Safety Sci. 46(4), 675–691p.

Gatti S. 2008. Project finance in theory and practice: designing, structuring, and financing private and public projects. Academic Press.

Miller R, Lessard DR. 2001. The strategic management of large engineering projects: Shaping institutions, risks, and governance. MIT press.

Dias A Jr., Ioannou PG. 1995 A desirability model for the development of privately promoted infrastructure projects. UMCEE Report No. 95-09, Center of Construction Engineering and Management, Civil Engineering Dept., Univ. of Michigan, Ann Arbor, Mich.

Arndt RH. 1999. Is build-own-operate-transfer a solution to local government's infrastructure funding problems? In International Congress on Local Government Engineering and Public Works: Incorporating the 10th National Local Government Engineering Conference, Sydney, Australia, 22-26 August 1999, The (p. 212). Institute of Public Works Engineering Australia. Institution of Engineers, Australia.

Akintoye AS, MacLeod MJ. 1997. Risk analysis and management in construction. Int J Proj Manage, 15(1), 31–38p.

Dikmen I, Birgonul MT, Han S. 2007. Using fuzzy risk assessment to rate cost overrun risk in international construction projects. Int J Proj Manage. 25(5), 494–505p.

Chee TS, Yeo KT. 1995, June. Risk analysis of a build-operate-transfer (BOT) power plant project. In Proceedings for Operating Research and the Management Sciences, IEEE, 275–280p.

Jannadi OA, Almishari S. 2003. Risk assessment in construction. J Constr Eng Manage. 129(5), 492–500p.

Yeh RH, Hsieh MH. 2007. Fuzzy assessment of FMEA for a sewage plant. J Chin Inst Ind Eng. 24(6), 505–512p.

Pillay A, Wang J. 2003. Modified failure mode and effects analysis using approximate reasoning. Reliab Eng Syst Safety. 79(1), 69–85p.

Carbone TA, Tippett DD. 2004. Project risk management using the project risk FMEA. Eng Manage J. 16(4), 28–35p.

Sharma RK, Kumar D, Kumar P. 2005. Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling. Int J Qual Reliab Manage. 22(9), 986–1004p.

Chin KS, Chan A, Yang JB. 2008. Development of a fuzzy FMEA based product design system. Int J Adv Manuf Technol. 36(7-8), 633–649p.

Chang KH, Cheng CH. 2010. A risk assessment methodology using intuitionistic fuzzy set in FMEA. Int J Syst Sci. 41(12), 1457–1471p.

Zadeh LA. 1965. Fuzzy sets. Inform Control. 8(3), 338–353p.

Nasseri H. 2008. Fuzzy numbers: positive and nonnegative. In International Mathematical Forum, 3(36), 1777–1780p.

Abdelgawad, M. and Fayek, A.R., 2010. Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP. J Constr Eng Manage. 136(9), 1028–1036p.

Bowles JB, Peláez CE. 1995. Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliab Eng Syst Safety. 50(2), 203–213p.

Knight K, Robinson Fayek A. 2002. Use of fuzzy logic for predicting design cost overruns on building projects. J Constr Eng Manage. 128(6), 503–512p.

Kuchta D. 2001. Use of fuzzy numbers in project risk (criticality) assessment. Int J Proj Manage. 19(5), 305–310p.

Biacino L, Gerla G. 2002. Fuzzy logic, continuity and effectiveness. Arch Math Logic. 41(7), 643–667p.

Sawhney R, Subburaman K, Sonntag C, Rao Venkateswara Rao P, Capizzi C. 2010. A modified FMEA approach to enhance reliability of lean systems. Int J Qual Reliab Manage. 27(7), 832–855p.

Yu JH, Lee SK. 2012. A conflict-risk assessment model for urban regeneration projects using Fuzzy-FMEA. KSCE J Civil Eng. 16(7), 1093–1103p.

Al-Humaidi HM, Tan FH. 2011. Using fuzzy failure mode effect analysis to model cave-in accidents. J Perform Constr Fac. 26(5), 702–719p.

Oliveros AVO, Fayek AR. 2005. Fuzzy logic approach for activity delay analysis and schedule updating. J Constr Eng Manage. 131(1), 42–51p.

Mohammadi A, Tavakolan M. 2013, June. Construction project risk assessment using combined fuzzy and FMEA. In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), IEEE, 232–237p.

Abdelgawad M, Fayek AR. 2011. Comprehensive hybrid framework for risk analysis in the construction industry using combined failure mode and effect analysis, fault trees, event trees, and fuzzy logic. J Constr Eng Manage. 138(5), 642–651p.

Salah A, Moselhi O. 2015. Contingency modelling for construction projects using fuzzy-set theory. Eng Constr Arch Manage. 22(2), 214–241p.

Sarkar D, Dutta G. 2011. A framework of project risk management for the underground corridor construction of metro rail. Int J Const Proj Manage. 4(1), 21–38p.

Singha M, Sarkar D. 2017. Project Risk Analysis for Elevated Metro Rail Projects using Fuzzy Failure Mode and Effect Analysis (FMEA). Methodology. 4(11),906-914p.

Clark DA. 1990. Verbal uncertainty expressions: A critical review of two decades of research. Curr Psychol. 9(3), 203–235p.

Sarkar D, Bhavnani G. 2014. Risk Analysis of Elevated Corridor Project Using Failure Mode and Effect Analysis (FMEA) and Combined Fuzzy FMEA. J Const Manage NICMAR. 29(2), 5–22p.


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