Analyzing the Effects of Critical Risk Occurrence Probability on Time and Cost of Road Construction Projects Using a Schedule Plan

Document Type : Research Paper

Authors

1 Ph.D. student, Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

2 Assistant Professor, Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

3 Asistant Professor, Department of Industrial Engineering, Electronic Branch, Islamic Azad University, Tehran, Iran

4 Assistant Professor, Department of Mathematical, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

Many projects fail to achieve their expected benefit, cost, scope, and time objectives because their related risks and uncertainties reduce the accuracy in properly estimating the objectives and, thus, reduce the project efficiency. Since risks are accompanied with uncertainties and lack of reliability, many of them are irremovable in construction projects and their proper management is the only way to prevent damage. Hence, before a project starts, it is quite necessary that its risks should be identified, quantified, and evaluated to prevent them to occur using proper strategies and prioritization methods. As road construction projects involve numerous activities, and unexpected factors affect their final time and cost, the present study has identified their related risks by reviewing the literature and asking the experts’ opinions, prioritized them by the traditional Failure Mode and Effect Analysis (FMEA), selected the critical ones, and used the Monte Carlo simulation technique to quantitatively analyze their effects on the project time/cost scheduling. Also, sensitivity analysis was done by varying the percent occurrence probability of risks to evaluate determine the relationship between the percentage of probability of occurrence of risks and time and cost of road projects. Finally, responses to identified risk provided in order to reduce their effects on the time and cost of road construction projects.

Keywords

References

-Alvand, A., Mirhosseini, S. M., Ehsanifar, M., Zeighami, E., & Mohammadi, A. (2021). Identification and assessment of risk in construction projects using the integrated FMEA-SWARA-WASPAS model under fuzzy environment: a case study of a construction project in Iran. International journal of construction management, 1-23.
 
-A Guide to the Project Management Body of Knowledge: (PMBOK Guide). 6th Edition. (2017). Project Management Institute, Maryland.
 
-Ahmadi, M., Behzadian, K., Ardeshir, A., & Kapelan, Z. (2017). Comprehensive risk management using fuzzy FMEA and MCDA techniques in highway construction projects. Journal of Civil Engineering and Management, 23(2), 300-310.
 
-AIAG, A. (2008). Odette announces release of updated Global Materials Management Operations Guideline/Logistics Evaluation (MMOG/LE). July 24, 2006.
 
-Bahamid, R. A., & Doh, S. I. (2017, November). A review of risk management process in construction projects of developing countries. In IOP Conference Series: Materials Science and Engineering (Vol. 271, No. 1, p. 012042). IOP Publishing.
 
-Choudhry, R. M., Aslam, M. A., Hinze, J. W., & Arain, F. M. (2014). Cost and schedule risk analysis of bridge construction in Pakistan: Establishing risk guidelines. Journal of Construction Engineering and Management, 140(7), 04014020.
 
-Creemers, S., Demeulemeester, E., & Van de Vonder, S. (2014). A new approach for quantitative risk analysis. Annals of Operations Research, 213(1), 27-65.
 
-Diab, M. F., Varma, A., & Panthi, K. (2017). Modeling the construction risk ratings to estimate the contingency in highway projects. Journal of construction engineering and management, 143(8), 04017041.
 
-El-Sayegh, S. M. (2014). Project risk management practices in the UAE construction industry. International Journal of Project Organisation and Management, 6(1-2), 121-137.
 
-Goh, C S and Abdul-Rahman, H. (2013). The identification and management of major risks in the Malaysian construction industry, J. Constr. Dev. Countr. 18 19-32.
 
-Habibi, M., Kermanshachi, S., & Safapour, E. (2018, April). Engineering, procurement and construction cost and schedule performance leading indicators: state-of-the-art review. In Proceedings of Construction Research Congress (pp. 2-4). New Orleans, Louisiana: ASCE.
 
-Islam, M, Nepal, M, (2017), Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects, Advanced Engineering Informatics journal, Volume 33, August 2017, Pages 112-131.
 
-Mahamid, I. (2013). Common risks affecting time overrun in road construction projects in Palestine: Contractors' perspective. Australasian Journal of Construction Economics and Building, 13(2), 45.
 
-Mohajeri Borje Ghaleh, R., Pourrostam, T., Mansour Sharifloo, N., Majrouhi Sardroud, J., Safa, E. (2020). 'Reviewing Causes of Delay from the Risk Management Perspective in Execution Stage in Road Construction Projects (Case Study: Garmsar-Simin Dasht Road)', Civil and Environmental Researches, 5(2), pp. 69-82. doi: 10.22091/cer.2020.5274.1196.
 
-Nabawy, M., & Khodeir, L. M. (2020). A systematic review of quantitative risk analysis in construction of mega projects. Ain Shams Engineering Journal, 11(4), 1403-1410.
 
-Nabawy, M., & Khodeir, L. M. (2021). Achieving efficiency in quantitative risk analysis process–Application on infrastructure projects. Ain Shams Engineering Journal, 12(2), 2303-2311.
 
-Okate, A., & Kakade, V. (2019). Risk Management in Road Construction Projects: High Volume Roads. Proceedings of Sustainable Infrastructure Development & Management (SIDM).
 
-Perera, B, (2009), Risk management in road construction: The case of Sri Lanka, International Journal of Strategic Property Management, 13:2, 87-102.
 
-PMI (2013), A Guide to The Project Management Body of Knowledge (PMBOK guide) (Newtown Square: Project Management Institute).
-Smith, N J, Merna, T. and Jobling, P. (2009). Managing Risk: in Construction Projects (Oxford: John Wiley & Sons).
 
-Sarkar, D., & Singh, M. (2020). Risk analysis by integrated fuzzy expected value method and fuzzy failure mode and effect analysis for an elevated metro rail project of Ahmedabad, India. International Journal of Construction Management, 1-12.
 
-Van Leeuwen, J. F., Nauta, M. J., De Kaste, D., Odekerken-Rombouts, Y. M. C. F., Oldenhof, M. T., Vredenbregt, M. J., & Barends, D. M. (2009). Risk analysis by FMEA as an element of analytical validation. Journal of pharmaceutical and biomedical analysis, 50(5), 1085-1087.
 
-Zayed, T., Amer, M., & Pan, J. (2008). Assessing risk and uncertainty inherent in Chinese highway projects using AHP. International journal of project management, 26(4), 408-419.
 
-Zhu, H. and Zahng, J. (2009) "A credibility-based fuzzy mathematical programming model for APP problem" Artificial Intelligence and Computational Intelligence, AICI'09. International Conference on. IEEE, pp.
International Journal of Transportation Engineering
Volume 10, Issue 3 - Serial Number 39
January 2023
Pages 1121-1137

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