Cited by 41Construction Project Management and PerformanceCapital Investment and Risk AnalysisMulti-Criteria Decision Making

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Risk assessment of construction projects using Monte Carlo simulation

Qazi, Abroon, Simsekler, Mecit Can Emre·2021·International Journal of Managing Projects in Business

Abstract

Purpose: This paper aims to develop a process for prioritizing project risks that integrates the decision-maker's risk attitude, uncertainty about risks both in terms of the associated probability and impact ratings, and correlations across risk assessments. Design/methodology/approach: This paper adopts a Monte Carlo Simulation-based approach to capture the uncertainty associated with project risks. Risks are prioritized based on their relative expected utility values. The proposed process is operationalized through a real application in the construction industry. Findings: The proposed process helped in identifying low-probability, high-impact risks that were overlooked in the conventional risk matrix-based prioritization scheme. While considering the expected risk exposure of individual risks, none of the risks were located in the high-risk exposure zone; however, the proposed Monte Carlo Simulation-based approach revealed risks with a high probability of occurrence in the high-risk exposure zone. Using the expected utility-based approach alone in prioritizing risks may lead to ignoring few critical risks, which can only be captured through a rigorous simulation-based approach. Originality/value: Monte Carlo Simulation has been used to aggregate the risk matrix-based data and disaggregate and map the resulting risk profiles with underlying distributions. The proposed process supported risk prioritization based on the decision-maker's risk attitude and identified low-probability, high-impact risks and high-probability, high-impact risks.

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Crossref · 10.1108/ijmpb-03-2020-0097

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Research works printed but not linked: 40

  1. 2019, A review of artificial intelligence based risk assessment methods for capturing complexity-risk interdependencies: cost overrun in construction projects, International Journal of Managing Projects in Business
  2. 2017, Improving risk characterisations in practical situations by highlighting knowledge aspects, with applications to risk matrices, Reliability Engineering and System Safety, 167, 42, 10.1016/j.ress.2017.05.006 · DOI
  3. 2020, How to determine the largest global and national risks: review and discussion, Reliability Engineering and System Safety, 199
  4. 2020, Modeling and analyzing factors affecting project delays using an integrated social network-fuzzy MICMAC approach, Engineering Management Journal, 32, 26, 10.1080/10429247.2019.1656595 · DOI
  5. 2014, Managing quality in projects: an empirical study, International Journal of Project Management, 32, 178, 10.1016/j.ijproman.2013.02.003 · DOI
  6. 2015, An Analytical Network Process model for risks prioritisation in megaprojects, International Journal of Project Management, 33, 1795, 10.1016/j.ijproman.2015.08.007 · DOI
  7. 2014, A quantitative framework for managing project value, risk, and opportunity, IEEE Transactions on Engineering Management, 61, 583, 10.1109/TEM.2014.2326986 · DOI
  8. 2017, Critical factors impacting the performance of mega-projects, Engineering Construction and Architectural Management, 24, 920, 10.1108/ECAM-05-2016-0117 · DOI
  9. 2019, Fuzzy Bayesian schedule risk network for offshore wind turbine installation, Ocean Engineering, 188
  10. 2019, Strategy development using TOWS matrix for international project risk management based on prioritization of risk categories, International Journal of Managing Projects in Business, 12, 1003, 10.1108/IJMPB-07-2018-0128 · DOI
  11. 2018, Effects of risk attitude and controllability assumption on risk ratings: observational study on international construction project risk assessment, Journal of Management in Engineering, 34
  12. 2015, Recommendations on the use and design of risk matrices, Safety Science, 76, 21, 10.1016/j.ssci.2015.02.014 · DOI · Paper page
  13. 2008, Risk assessment and allocation in the UAE construction industry, International Journal of Project Management, 26, 431, 10.1016/j.ijproman.2007.07.004 · DOI · Paper page
  14. 2017, Measuring the impact of lean construction practices on project duration and variability: a simulation-based study on residential buildings, Journal of Civil Engineering and Management, 23, 241
  15. 2018, Project governance, project performance, and the mediating role of project quality and project management risk: an agency theory perspective, Engineering Management Journal, 30, 274, 10.1080/10429247.2018.1503038 · DOI
  16. 2009, Structuring the prediction model of project performance for international construction projects: a comparative analysis, Expert Systems with Applications, 36, 1961, 10.1016/j.eswa.2007.12.048 · DOI
  17. 2010, Categorizing risks in seven large projects—which risks do the projects focus on?, Project Management Journal, 41, 81, 10.1002/pmj.20154 · DOI
  18. 2020, Risk assessment using a new consulting process in fuzzy AHP, Journal of Construction Engineering and Management, 146
  19. 2019, A hybrid approach for quantitative assessment of construction projects risks: the case study of poor quality concrete, Computers and Industrial Engineering, 131, 306, 10.1016/j.cie.2019.03.045 · DOI
  20. 2015, Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process, International Journal of Project Management, 33, 1364, 10.1016/j.ijproman.2015.02.007 · DOI
  21. 2003, Applying utility theory to risk management, Project Management Journal, 34, 26, 10.1177/875697280303400304 · DOI
  22. 2020, Risk matrix driven supply chain risk management: adapting risk matrix based tools to modelling interdependent risks and risk appetite, Computers and Industrial Engineering
  23. 2019, From risk matrices to risk networks in construction projects, IEEE Transactions on Engineering Management
  24. 2019, Analysing causal relationships between delay factors in construction projects, International Journal of Managing Projects in Business
  25. 2015, Risk matrix integrating risk attitudes based on utility theory, Risk Analysis, 35, 1437, 10.1111/risa.12400 · DOI
  26. SA, 2009, Risk Management: Principles and Guidelines (AS/NZS ISO 31000: 2009)
  27. 2010, Fuzzy Monte Carlo simulation and risk assessment in construction, Computer-Aided Civil and Infrastructure Engineering, 25, 238, 10.1111/j.1467-8667.2009.00632.x · DOI
  28. 2014, Quality vs risk: an investigation of their relationship in software development projects, International Journal of Project Management, 32, 1073, 10.1016/j.ijproman.2013.11.001 · DOI
  29. 2008, Failure mode and effects analysis (FMEA) in the context of risk management in new product development, International Journal of Quality and Reliability Management, 25, 899, 10.1108/02656710810908061 · DOI
  30. 2018, Design for patient safety: a systems-based risk identification framework, Ergonomics, 61, 1046, 10.1080/00140139.2018.1437224 · DOI
  31. 2011, International projects proposal analysis: risk assessment using radial maps, Project Management Journal, 42, 62, 10.1002/pmj.20237 · DOI
  32. 2014, Towards a better modelling and assessment of construction risk: insights from a literature review, International Journal of Project Management, 32, 101, 10.1016/j.ijproman.2013.03.004 · DOI · Paper page
  33. 2019, Delay risk assessment of repetitive construction projects using line-of-balance scheduling and Monte Carlo simulation, Journal of Construction Engineering and Management, 145
  34. 2018, The construction dust-induced occupational health risk using Monte-Carlo simulation, Journal of Cleaner Production, 184, 598, 10.1016/j.jclepro.2018.02.286 · DOI · Paper page
  35. 2014, The impact of uncertainty and ambiguity related to iteration and overlapping on schedule of product development projects, International Journal of Project Management, 32, 827, 10.1016/j.ijproman.2013.10.010 · DOI
  36. 2019, Improved decision model for evaluating risks in construction projects, Journal of Construction Engineering and Management, 145
  37. 2019, A bayesian networks approach to estimate engineering change propagation risk and duration, IEEE Transactions on Engineering Management, 67, 869
  38. 2014, A knowledge-based risk mapping tool for cost estimation of international construction projects, Automation in Construction, 43, 144, 10.1016/j.autcon.2014.03.010 · DOI
  39. 2016, Selecting risk response strategies considering project risk interdependence, International Journal of Project Management, 34, 819, 10.1016/j.ijproman.2016.03.001 · DOI
  40. 2007, Understanding the key risks in construction projects in China, International Journal of Project Management, 25, 601, 10.1016/j.ijproman.2007.03.001 · DOI

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Metadata

Authors
Qazi, A., & Simsekler, M. C. E.
Affiliations
  • American University of Sharjah (AE)
  • Khalifa University of Science and Technology (AE)
Venue
International Journal of Managing Projects in Business
Publisher
Emerald
Published
2021-02-12
Volume
14
Issue
5
Pages
1202-1218
ISSN
1753-8378 (ISSN-L)
OpenAlex
W3130298214
Cited by
41
References
0
Citations by year
2026: 15 · 2025: 12 · 2024: 5 · 2023: 4 · 2022: 4 · 2021: 1
FWCI
1.94
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Managing Projects in Business (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Construction Project Management and Performance
  • Social Sciences › Economics, Econometrics and Finance › Finance › Capital Investment and Risk Analysis
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
Keywords
construction risk, risk prioritization, Monte Carlo simulation, expected utility, risk preferences, risk matrix, risk exposure, risk probability and impact, risk correlation

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