Providing a Model For Assessing Risk Management Of Construction Projects With A Sustainable Development Approach: Case Studies Of Small-Scale Power Plants


  • Mehrdad Masoudnejad Department of Civil Engineering, Sari Branch, Islamic Azad University, Sari, Iran
  • Siroos Gholampour Department of Civil Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
  • Morteza Rayati Department of Civil Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
  • Fateme Nikzad Department of Civil Engineering, Sari Branch, Islamic Azad University, Sari, Irani



project management, Sustainable risk management, infrastructure projects, fuzzy logic


Economic growth in developing countries requires the implementation of infrastructural projects such as power plants, the sustainability of which plays an important role in the social, economic, and environmental development. Despite, these projects are always associated with uncertainties and risks due to features such as uniqueness, unspecified time, the need for specific equipment, correlation between different phases and so on. Therefore, in the present study, a small-scale power plants in Mazandaran was subjected to a case study by which the project risks were properly studied. By interviewing the experts associated with the construction of the power plant, 34 risks were identified and subsequently categorized into four categories of environmental, economic, social, and technical. Then, using the failure factor analysis method, their effects were evaluated, and critical risks were identified. In the next step, Fuzzy TOPSIS hierarchical analysis method was used to prioritize critical risks according to the project objectives in accordance with the PMBOK project management standard. After prioritizing the critical risks, in accordance with the real conditions of these projects, suggestions were made to respond and face the critical risks


Ackermann، T., Andersson, G., & Söder, L. (2001). Distributed generation: a definition. Electric Power Systems Research, 57(3): 195-204.‏

Ardeshir, A., Amiri, M., Ghasemi, Y. & Errington, M. (2014). Risk assessment of construction projects for water conveyance tunnels using fuzzy fault tree analysis. International Journal of Civil Engineering, 10: 396-412.

Ben-David, I., Rabinowitz, G. and Raz, T. (2002). Economic optimization of project risk management efforts. Project Risk Management Optimization, 1: 1-10.

Chang, K. H., & Cheng, C. H. (2010). A risk assessment methodology using intuitionistic fuzzy set in FMEA. International Journal of Systems Science, 41(12): 1457-1471.

Chang, R. D., Soebarto, V., Zhao, Z. Y., & Zillante, G. (2016). Facilitating the transition to sustainable construction: China's policies. Journal of Cleaner Production, 131: 534-544.

Chapman, C.B. & Ward, S.C. (2003). Project Risk Management: Processes, Techniques And Insights. Second ed., Chichester, John Wiley and sons.

Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets And Systems, 114(1): 1-9.

Czarnecki, L., Kaproń, M., & Van Gemert, D. (2013). Sustainable construction: challenges, contribution of polymers, research arena. Restoration of Buildings and Monuments, 19(2-3): 81-96.

D. Besterfield, C. Besterfield-M., G.H. Besterfield& M. Besterfield-S. (2003) Total Quality Management, Pearson Education, Inc., New Jersey. 377–405.

Del Cano, A., & De la Cruz, P.E. (2002).Integrated Methodology for Project Risk Management”, Journal of Construction Engineering and Management, 128(6) : 473-485.

Doskočil, R., & Lacko, B. (2018). Risk Management and Knowledge Management as Critical Success Factors of Sustainability Projects. Sustainability. 10(5) : 1-13.

Ervural, B.C., Zaim, S., Demirel, O.F., Aydin, Z. & Delen, D. (2017). An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey’s energy planning. Renewable and Sustainable Energy Reviews. 82: 1538-1550.

Grey, S. (1999). Practical Risk Assessment for Project Management, 1st ed., John Wiley, UK, (1995).

Han, S.H., Park, H.K., Yeom, S.M. & Chae, M.J. (2014). Risk-integrated cash flow forecasting for overseas construction projects. KSCE Journal of Civil Engineering, 18(4): 875-886.

Hillson, D., & Simon, P. (2007). Practical Project Risk Management: The ATOM Methodology, 1st ed., Management Concepts, USA.

Hwang, C.L. & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision makingpp. 58-191). Springer, Berlin, Heidelberg.

Hwang, C.L., Lai, Y.J. & Liu, T.Y. (1993). A new approach for multiple objective decision making. Computers & operations re. search, 20(8): 889-899.

Iacobucci, D., Ostrom, A., & Grayson, K. (1995). Distinguishing service quality and customer satisfaction: the voice of the consumer. Journal Of Consumer Psychology, 4(3), 277-303.

Islam, M.S. & Nepal, M. (2016). A Fuzzy-bayesian Model for Risk Assessment in Power Plant Projects. Procedia Computer Science, 100: 963-970.

Jeswani, H. K., A. Azapagic, P. Schepelmann & M. Ritthoff (2010). Options for Broadening and Deepening the LCA Approaches", ", Journal of Cleaner Production 18(2): 120-127.

Kasap, D. & Kaymak, M. (2007). Risk Identication Step of the Project Risk Management, Management of Engineering and Technology, Portland International Center, 2116-2120 (2007).

Kim, Y., & Lee, E. B. (2018). A Probabilistic Alternative Approach to Optimal Project Profitability Based on the Value-at-Risk. Sustainability, 10(3): 747.

Kim, Y.S. & Kang, H.W. (2017). Development of a model for risk and cost analysis in overseas plant construction projects focusing on petrochemical plant construction projects. KSCE Journal of Civil Engineering, 21(5):1549-1562.

Kivilä, J., Martinsuo, M., & Vuorinen, L. (2017). Sustainable project management through project control in infrastructure projects. International Journal of Project Management, 35(6): 1167-1183.

Kumru, M., & Kumru, P. Y. (2013). Fuzzy FMEA application to improve purchasing process in a public hospital. Applied Soft Computing, 13(1), 721-733.

Lacko, B. (2012).Evaluation of Software Projects with Mta; Vsb-Tech University Ostrava: Ostrava, Czech Republic, ISBN 978-80-248-2669-1.

Laufer, A., Kusek, J., & Cohenca-Zall, D. (1997). Taking the sting out of project surprises. Optimum, 27, 1-7.

Li, H., Zhang, X., Ng, S. T., & Skitmore, M. (2018). Quantifying stakeholder influence in decision/evaluations relating to sustainable construction in China–A Delphi approach. Journal of Cleaner Production, 173, 160-170.

Lyons, T. (2002). Project risk management in the Queensland engineering construction industry. Masters of project management Dissertation, Queensland University of technology, Australia.

Management and Planning Organization (2004). The Law of the Fourth Plan of Economic, Social and Cultural Development, adopted in 2004 by the Islamic Consultative Assembly, Tehran.

Masoudnejad, M., Damavandi, M. R., & Gholampoor, S. (2018). Developing a model for improving the productivity and energy production of small-scale power plants using the physical asset management model in a fuzzy environment. Aims Energy, 6(6): 1009-1024.

Nasirzadeh, F., AFSHAR, A. & KHAN, Z.M. (2008). System dynamics approach for construction risk analysis.. (2008): 120-131.

Ness, B., E. Urbel-Piirsalu, S. Anderberg & L. Olsson (2007). Categorising Tools for Sustainability Assessment, Ecological Economics, 60 (3)

Niu, D., Li, Y., Dai, S., Kang, H., Xue, Z., Jin, X., & Song, Y. (2018). Sustainability Evaluation of Power Grid Construction Projects Using Improved TOPSIS and Least Square Support Vector Machine with Modified Fly Optimization Algorithm. Sustainability, 10(1): 231.

Patrick, X.W.Z., Guomin, Zh. and Jiayuan W. (2007). Understanding the key risks in construction projects in China", Elsevier Ltd and International Journal of Project Management (IPMA), 25(6): 601-614.

Pillay, A., & Wang, J. (2003). Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering & System Safety, 79(1): 69-85.

Planning and Budget Organization, (2000). The Law of the Third Plan of Economic, Social and Cultural Development, approved by the Islamic Consultative Assembly of 2000, Tehran.

PMI (Project Management Institute), (2008). A Guide to the Project Management Body of Knowledge (PMBOK Guide). 4nd ed., Pennsylvania.

SADEGHI, H., NASERI, A. and SHAHRIARI, L. (2013). Examination of the Factors Affecting the Efficiency of Gas Power Plants.2(8): 93-107.

Shi, L., Ye, K., Lu, W., & Hu, X. (2014). Improving the competence of construction management consultants to underpin sustainable construction in China. Habitat International, 41 :236-242.

Silvius, A. J., & Schipper, R. P. (2014). Sustainability in project management: A literature review and impact analysis. Social Business, 4(1): 63-96.

SILvIuS, G. I. L. B. E. R. T., Schipper, R., Van Den Brink, J., & Planko, J. (2012). Sustainability in project management. Gower Publishing, Ltd..

Šviráková, E. (2017). Methods for Project Tracking in Creative Environment. Acta Informatica Pragensia, 2017(1), 32-59.

Tang, W., Li, Z., & Tu, Y. (2018). Sustainability Risk Evaluation for Large-Scale Hydropower Projects with Hybrid Uncertainty. Sustainability, 10(1): 138.

Tavana, M., Keramatpour, M., Santos-Arteaga, F.J. & Ghorbaniane, E. (2015). A fuzzy hybrid project portfolio selection method using data envelopment analysis, TOPSIS and integer programming. Expert Systems with Applications, 42(22): 8432-8444.

Turner J.R.( 1995). the Handbook of Project-Based Management: Improving the Processes for Achieving Strategic Objectives, 1st ed., London, McGraw-Hill.

Van Marrewijk, A., Clegg, S. R., Pitsis, T. S., & Veenswijk, M. (2008). Managing public–private megaprojects: Paradoxes, complexity, and project design. International Journal of Project Management, 26(6): 591-600.

Walczak, D. & Rutkowska, A. (2017). Project rankings for participatory budget based on the fuzzy TOPSIS method. European Journal of Operational Research, 260(2): pp.706-714.

Wang, C., & Lucena, B. (2015). Risk leveling in program environments—A structured approach for program risk management. Sustainability, 7(5): 5896-5919.

Wang, L., Zhang, H.Y., Wang, J.Q. and Li, L. (2018). Picture fuzzy normalized projection-based VIKOR method for the risk evaluation of construction project. Applied Soft Computing, 64: 216-226.

Wang, Y., Niu, D., & Xing, M. (2010). Risk Management Evaluation Based on Elman Neural Network for Power Plant Construction Project. Advances in Intelligent Information and Database Systems, 315-324.‏

Xu, Y., Chan, A. P., Xia, B., Qian, Q. K., Liu, Y., & Peng, Y. (2015). Critical risk factors affecting the implementation of PPP waste-to-energy projects in China. Applied Energy, 158: 403-411.‏

Yoon, K. (1987). A reconciliation among discrete compromise solutions. Journal of the Operational Research Society. 277-286.

Yu, M., Zhu, F., Yang, X., Wang, L., & Sun, X. (2018). Integrating Sustainability into Construction Engineering Projects: Perspective of Sustainable Project Planning. Sustainability, 10(3): 784.Radek

Yu, M., Zhu, F., Yang, X., Wang, L., & Sun, X. (2018). Integrating Sustainability into Construction Engineering Projects: Perspective of Sustainable Project Planning. Sustainability, 10(3): 784.

Zou, P.X.W., Zhang, G. & Wang, J. (2007). Understanding the key risks in construction projects in China", International Journal of Project Management, 25(6): 601- 614.

Zwikael, O., & Sadeh, A. (2007). Planning effort as an effective risk management tool. Journal of Operations Management, 25(4): 755-767.




How to Cite

Masoudnejad, M., Gholampour, S., Rayati, M., & Nikzad, F. (2020). Providing a Model For Assessing Risk Management Of Construction Projects With A Sustainable Development Approach: Case Studies Of Small-Scale Power Plants. International Journal of Built Environment and Sustainability, 8(1), 15–27.