System dynamic modeling of risk management in construction projects: A systematic literature review
This literature review discusses risk management research with System Dynamic modeling. Literature is reviewed by summarizing the research that has been done and examining research findings, research relationships, and research problems that require further research. The risk management paper with System Dynamic modeling (2000-2020) is reviewed by dividing risk into 3 groups, namely: internal risk, external risk, and project risk. Each group is further divided into technical risks and non-technical risks. The results of the study stated that risk management with System Dynamic modeling has not been widely used as evidenced by research (2000-2020); there are only 25 papers that match the keywords and can be written reviews. Ten internal risk papers include: project members, location risk, document risk & information. External risk papers are only found in 2 papers that discuss: weather risk and social risk, while the project risks are found in 13 papers discussing: cost risk, time risk, work quality risk, and construction risk.
Boateng, P, Chen, & Ogunlana, S. (2012). A Conceptual System Dynamic Model To Describe the Impacts of Critical Weather Conditions in Megaproject Construction. Journal of Construction Project Management and Innovation, 2(1), 208–224.
Boateng, Prince, Chen, Z., & Ogunlana, S. (2016). A dynamic framework for managing the complexities of risks in megaprojects. International Journal of Technology and Management Research, 1(5), 1–13. https://doi.org/http://dx.doi.org/10.1016/j.clinbiochem.2014.12.004
Cunbin, L., Yunqi, L., & Shuke, L. (2015). Human resources risk element transmission model of construction project based on System Dynamic. Open Cybernetics and Systemics Journal, 9, 295–305. https://doi.org/10.2174/1874110X01509010295
Han, S. U., Lee, S. H., & Peña-Mora, F. (2010). System Dynamics modeling of a safety culture based on resilience engineering. Construction Research Congress 2010: Innovation for Reshaping Construction Practice - Proceedings of the 2010 Construction Research Congress, 389–397. https://doi.org/10.1061/41109(373)39
Jiang, Z., Fang, D., & Zhang, M. (2015). Understanding the causation of construction workers’ unsafe behaviors based on System Dynamics modeling. Journal of Management in Engineering, 31(6). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000350
Khanzadi, M., Nasirzadeh, F., & Alipour, M. (2012). Integrating System Dynamics and fuzzy logic modeling to determine concession period in BOT projects. Automation in Construction, 22, 368–376. https://doi.org/10.1016/j.autcon.2011.09.015
Love, P. E. D., Holt, G. D., Shen, L. Y., Li, H., & Irani, Z. (2002). Using systems dynamics to better understand change and rework in construction project management systems. International Journal of Project Management, 20(6), 425–436. https://doi.org/10.1016/S0263-7863(01)00039-4
Maryani, A., Wignjosoebroto, S., & Partiwi, S. G. (2015). A System Dynamics Approach for Modeling Construction Accidents. Procedia Manufacturing, 4(Iess), 392–401. https://doi.org/10.1016/j.promfg.2015.11.055
Mohamed, S., & Chinda, T. (2011). System Dynamics modelling of construction safety culture. Engineering, Construction and Architectural Management, 18(3), 266–281. https://doi.org/10.1108/09699981111126179
Mohammadi, A., & Tavakolan, M. (2019). Modeling the effects of production pressure on safety performance in construction projects using System Dynamics. Journal of Safety Research, 71(November), 273–284. https://doi.org/10.1016/j.jsr.2019.10.004
Mohammadi, A., Tavakolan, M., & Khosravi, Y. (2018). Developing safety archetypes of construction industry at project level using System Dynamics. Journal of Safety Research, 67, 17–26. https://doi.org/10.1016/j.jsr.2018.09.010
Mortazavi, S., Kheyroddin, A., & Naderpour, H. (2020). Risk Evaluation and Prioritization in Bridge Construction Projects Using System Dynamics Approach. 25(2007), 1–13. https://doi.org/10.1061/(ASCE)SC.1943-5576.0000493
Nasir Bedewi Siraj, A. R. F. (2016). Construction Research Congress 2016 2039. Fuzzy System Dynamics for Modeling Construction Risk Management, 1990, 2039–2049. https://doi.org/10.1061/9780784479827.203
Nasir, M. K., & Hadikusumo, B. H. W. (2019). System Dynamics Model of Contractual Relationships between Owner and Contractor in Construction Projects. Journal of Management in Engineering, 35(1). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000666
Nasirzadeh, Farnad., Abbas, Afshar., Mostafa, K. (2008). System Dynamics Approach for Construction Risk Analysis. International Journal of Civil Engineering, 6(2), 120–131.
Nasirzadeh, Farnad. Abbas, Afshar. Mostafa, Khanzadi. Susan, H. (2008). Integrating System Dynamics and fuzzy logic modelling for construction risk management. Construction Management and Economics, 26(11), 1197–1212. https://doi.org/10.1080/01446190802459924
Nasirzadeh, F., Khanzadi, M., & Rezaie, M. (2014). Dynamic modeling of the quantitative risk allocation in construction projects. International Journal of Project Management, 32(3), 442–451. https://doi.org/10.1016/j.ijproman.2013.06.002
Shin, M., Lee, H. S., Park, M., Moon, M., & Han, S. (2014). A System Dynamics approach for modeling construction workers’ safety attitudes and behaviors. Accident Analysis and Prevention, 68, 95–105. https://doi.org/10.1016/j.aap.2013.09.019
Ullah, F., Thaheem, M. J., Sepasgozar, S. M. E., & Forcada, N. (2018). System Dynamics Model to Determine Concession Period of PPP Infrastructure Projects: Overarching Effects of Critical Success Factors. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 10(4). https://doi.org/10.1061/(ASCE)LA.1943-4170.0000280
Wang, J., & Yuan, H. (2016). System Dynamics Approach for Investigating the Risk Effects on Schedule Delay in Infrastructure Projects. In Journal of Management in Engineering (Vol. 33, Issue 1). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000472
Xu, L., Meng, ; Xianwei, Cao, Y., & Candidate, P. D. (2017). Multivariate Analysis of PPP Project Risk Based on System Dynamics.
Xu, X., Wang, J., Li, C. Z., Huang, W., & Xia, N. (2018). Schedule risk analysis of infrastructure projects: A hybrid dynamic approach. Automation in Construction, 95(November 2017), 20–34. https://doi.org/10.1016/j.autcon.2018.07.026
Xu, Y., Sun, C., Skibniewski, M. J., Chan, A. P. C., Yeung, J. F. Y., & Cheng, H. (2012). System Dynamics (SD) -based concession pricing model for PPP highway projects. International Journal of Project Management, 30(2), 240–251. https://doi.org/10.1016/j.ijproman.2011.06.001
Yang, C. C., & Yeh, C. H. (2014). Application of System Dynamics in Environmental Risk Management of Project Management for External Stakeholders. Systemic Practice and Action Research, 27(3), 211–225. https://doi.org/10.1007/s11213-013-9283-y
Yi, T., & Xiao, G. (2008). Applying System Dynamics to analyze the impact of incentive factors’ allocation on construction cost and risk. Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC, 2(July), 676–680. https://doi.org/10.1109/ICMLC.2008.4620490
Zavadskas, E. K., Turskis, Z., & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of Civil Engineering and Management, 16(1), 33–46. https://doi.org/10.3846/jcem.2010.03