System dynamic modeling of risk management in construction projects: A systematic literature review

Authors

  • Endit Wardito Industrial Engineering Department, Mercu Buana University, Jakarta, Indonesia
  • Humiras Hardi Purba Industrial Engineering Department, Mercu Buana University, Jakarta, Indonesia
  • Aleksander Purba Industrial Engineering Department, Mercu Buana University, Jakarta, Indonesia

DOI:

https://doi.org/10.31181/oresta2040101w

Keywords:

System Dynamic, Risk, Construction.

Abstract

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.

 

 

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Author Biographies

Endit Wardito, Industrial Engineering Department, Mercu Buana University, Jakarta, Indonesia

 

 

Humiras Hardi Purba, Industrial Engineering Department, Mercu Buana University, Jakarta, Indonesia

 

 

Aleksander Purba, Industrial Engineering Department, Mercu Buana University, Jakarta, Indonesia

 

 

References

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Published

2021-01-28

How to Cite

Wardito, E., Purba, H. H. ., & Purba, A. . (2021). System dynamic modeling of risk management in construction projects: A systematic literature review. Operational Research in Engineering Sciences: Theory and Applications, 4(1), 1–18. https://doi.org/10.31181/oresta2040101w

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