Simulación Monte Carlo como herramienta para priorizar los riesgos de los proyectos

• Fernando Acebes Senovilla ^[1] ; José Manuel González Varona ^[2] ; Adolfo López Paredes ^[2] ; Javier Pajares Gutiérrez Pajares Gutiérrez ^[1]
  1. [1] Universidad de Valladolid
  2. [2] Universidad de Málaga
• Localización: Dirección y organización: Revista de dirección, organización y administración de empresas, ISSN 1132-175X, Nº 85, 2025, págs. 43-56
• Idioma: español
• DOI: 10.37610/85.689
• Títulos paralelos:
  • Monte Carlo simulation for project risk prioritisation
• Enlaces
  • Texto completo
• Dialnet Métricas: 1 Cita
• Resumen
  • español

    En este artículo proponemos un método cuantitativo para priorizar los riesgos identificados en un proyecto. Basado en simu-lación de Montecarlo, la propuesta que presentamos evita la utilización de la matriz probabilidad – impacto por los proble-mas que plantea. Para conseguir ordenar por importancia los riesgos identificados en el proyecto, modelamos cada uno de los riesgos según funciones de probabilidad y, aplicando técnicas cuantitativas y simulación de Montecarlo, conseguimos medir el impacto real de cada una de las incertidumbres sobre los objetivos de coste y de duración del proyecto. Demostramos la validez de la metodología utilizando como ejemplo un caso de estudio

  • English

    The risk matrix is a commonly used tool to assess, visualise and analyse risks. It consists of a two-dimensional graphical representation of the probability (“likelihood” or “frequency”) of an outcome occurring and the impact (“severity” or “con-sequences”) that the outcome would have if it were to occur. Each of the two dimensions of the matrix is further divided into various levels of probability, usually located on the ordinate axis of the matrix, and diverse levels of impact, located on the abscissa axis. The result of each cell, formed by interconnecting a given probability level with the corresponding impact level, is associated with a risk level (urgency, priority, or management action).The risk matrix (or probability-impact matrix) has been widely implemented as a decision-support tool in both the public and private sectors in areas such as well-integrity risk, drilling hazard management, climatic change responses, or health and safety. Using these matrices to set priorities and guide resource allocation has been established as a recommendation within various international standards and industry guidelines. It is easy to construct and simple to apply compared to other risk assessment methodologies. Also, they provide a clear framework for the systematic review of risks, practically justify risk ranking and prioritisation, and keep stakeholders informed visually and attractively, among other reasons.Despite this, recent studies have shown that the risk matrix has shortcomings and limitations, making authors question its functionality and accuracy. Taking these limitations into account, in this article, we propose a quantitative method based on Monte Carlo simulation for prioritising the risks of a project, avoiding the use of the probability-impact matrix. To conduct the simulation, we will have the probability and impact data of the risks identified in the project and use ‘MCSimulRisk’ as a simulation tool. We will be able to quantitatively determine the impact of each risk on the cost objective and total duration of the project. The magnitude of the resulting impact will allow us to determine a quantitative prioritisation of the risks identified in the project.On the other hand, after estimating the probability and impact of the project’s risks, we have connected the qualitative risk analysis with the quantitative analysis by quantitatively prioritising the identified risks. In addition, we have managed to quantify the impact of each risk on the cost and duration objectives. We observed existing risks that significantly impact the project’s cost, even though they were initially identified for their impact on the project duration.As a result of applying the proposed method, we obtain a list of prioritised risks according to their impact on the duration objective and another list, different from the previous one, with the prioritised risks on the impact on the project’s cost. The order is different; thus, we can discriminate on which risk to act according to which is the most crucial objective in our proj-ect and the impact each risk has on the project

• Referencias bibliográficas
  • ACEBES, F., CURTO, D., DE ANTÓN, J., VILLAFÁÑEZ, F. (2023a). Análisis cuantitativo de riesgos utilizando “MCSimulRisk” como herramienta didáctica....
  • ACEBES, F., DE ANTÓN, J., VILLAFÁÑEZ, F., POZA, D. (2023b). A Matlab-Based Educational Tool for Quantitative Risk Analysis,...
  • ACEBES, F., PAJARES, J., GALÁN, J.M., LÓPEZ-PAREDES, A. (2014a). A new approach for project control under uncertainty. Going...
  • ACEBES, F., PAJARES, J., GALÁN, J.M., LÓPEZ-PAREDES, A. (2014b). Exploring the Influence of Seasonal Uncertainty in Project Risk Management....
  • ACEBES, F., PEREDA, M., POZA, D., PAJARES, J., GALÁN, J.M. (2015). Stochastic earned value analysis using Monte Carlo simulation and...
  • ALE, B., BURNAP, P., SLATER, D. (2015). On the origin of PCDS - (Probability consequence diagrams). Saf Sci, 72, 229–239. https://doi.org/10.1016/j.ssci.2014.09.003
  • ALLEMAN, G.B., COONCE, T.J., Price, R.A. (2018a). Increasing the Probability of Program Succes with Continuous Risk Management. College...
  • ALLEMAN, G.B., COONCE, T.J., Price, R.A. (2018b). What is Risk? The Measurable News, 01, 25–34.
  • AXELOS, 2017. Managing Successful Projects with PRINCE2®, 6th editi. Ed. TSO (The Stationery Office).
  • BALL, D.J., WATT, J. (2013). Further Thoughts on the Utility of Risk Matrices. Risk Analysis, 33, 2068–2078. https://doi.org/10.1111/risa.12057
  • CHAPMAN, C.B. (1997). Project risk analysis and management-- PRAM the generic process. International Journal of Project Management,...
  • CHAPMAN, C.B., WARD, S. (2003). Project Risk Management: Processes, Techniques and Insights, 2nd editi. Ed. Chichester, New York.
  • COX, L.A. (2008). What’s wrong with risk matrices? Risk Analysis, 28, 497–512. https://doi.org/10.1111/j.1539-6924.2008.01030.x
  • COX, L.A., BABAYEV, D., HUBER, W. (2005). Some limitations of qualitative risk rating systems. Risk Analysis, 25, 651–662. https://doi.org/10.1111/j.1539-6924.2005.00615.x
  • CREEMERS, S., DEMEULEMEESTER, E., VAN DE VONDER, S., VONDER, S. VAN DE, (2014). A new approach for quantitative risk analysis. Ann Oper Res,...
  • CURTO, D., ACEBES, F., GONZÁLEZ-VARONA, J.M., POZA, D. (2022). Impact of aleatoric, stochastic and epistemic uncertainties on project cost...
  • CURTO, D., POZA, D., VILLAFÁÑEZ, F., ACEBES, F. (2023). Estimación de las Contingencias de Coste: Aplicación del análisis cuantitativo...
  • DAMNJANOVIC, I., REINSCHMIDT, K.F. (2020). Data Analytics for Engineering and Construction Project Risk Management, Risk, Systems and Decisions....
  • DUIJM, N.J., 2015. Recommendations on the use and design of risk matrices. Saf Sci, 76, 21–31. https://doi.org/10.1016/j.ssci.2015.02.014
  • ELDOSOUKY, I.A., IBRAHIM, A.H., MOHAMMED, H.E.D. (2014). Management of construction cost contingency covering upside and downside risks....
  • ELMS, D.G. (2004). Structural safety: Issues and progress. Progress in Structural Engineering and Materials, 6, 116–126. https://doi.org/https://doi.org/10.1002/pse.176
  • EUROPEAN COMMISSION, (2018). Project Management Methodology. Guide 3.0. Publications Office of the European Union, Brussels / Luxembourg.
  • FRANK, M. (1999). Treatment of uncertainties in space nuclear risk assessment with examples from Cassini mission implications. Reliab...
  • GOERLANDT, F., RENIERS, G. (2016). On the assessment of uncertainty in risk diagrams. Saf Sci, 84, 67–77. https://doi.org/10.1016/j.ssci.2015.12.001
  • HILLSON, D. (2014). How to manage the risks you didn’t know you were taking. PMI® Global Congress, 1–8.
  • HILLSON, D., SIMON, P. (2020). Practical Project Risk Management. THE ATOM METHODOLOGY, 3th editi. Ed. Berrett-Koehler Publishers, Inc.
  • HULETT, D.T. (2012). Acumen Risk For Schedule Risk Analysis - A User’s Perspective [WWW Document]. White Paper. https://info.deltek.com/acumen-risk-for-schedule-risk-analysis...
  • INTERNATIONAL ORGANIZATION FOR STANDARDIZATION. (2019). ISO/IEC 31010:2019 Risk management - Risk assessment techniques.
  • INTERNATIONAL ORGANIZATION FOR STANDARDIZATION. (2018). ISO 31000 :2018 Risk management – Guidelines.
  • INTERNATIONAL PROJECT MANAGEMENT ASSOCIATION. (2015). Individual Competence Baseline for Project, Programme & Portfolio Management....
  • KERZNER, H. (2022). Project Management. A Systems Approach to Planning, Scheduling, and Controlling, 13th editi. Ed. New York.
  • KOULINAS, G.K., DEMESOUKA, O.E., SIDAS, K.A., KOULOU-RIOTIS, D.E. (2021). A topsis—risk matrix and Monte Carlo expert system for risk assessment...
  • KRISPER, M. (2021). Problems with Risk Matrices Using Ordinal Scales. https://doi.org/https://doi.org/10.48550/arXiv.2103.05440
  • KUESTER, K., MITTNIK, S., PAOLELLA, M.S. (2006). Value-at-risk prediction: A comparison of alternative strategies. Journal of Financial ...
  • KWON, H., KANG, C.W. (2019). Improving Project Budget Estimation Accuracy and Precision by Analyzing Reserves for Both Identified...
  • LAMBRECHTS, O., DEMEULEMEESTER, E., HERROELEN, W. (2008). Proactive and Reactive Strategies for Resource-Constrained Project ...
  • LEMMENS, S.M.P., LOPES VAN BALEN, V.A., RÖSELAERS, Y.C.M., SCHEEPERS, H.C.J., SPAANDERMAN, M.E.A. (2022). The risk matrix approach:...
  • LEVINE, E.S. (2012). Improving risk matrices: The advantages of logarithmically scaled axes. J Risk Res, 15, 209–222. https://doi.org/10.1080/13669877.2011.634514...
  • LI, J., BAO, C., WU, D. (2018). How to Design Rating Schemes of Risk Matrices: A Sequential Updating Approach. Risk Analysis, 38, 99–117....
  • LORANCE, R.B., WENDLING, R. V. (2001). Basic techniques for analyzing and presentation of cost risk analysis. Cost Engineering, 43, 25–31.
  • MONAT, J.P., DOREMUS, S. (2020). An improved alternative to heat map risk matrices for project risk prioritization. Journal of Modern...
  • NADERPOUR, H., KHEYRODDIN, A., MORTAZAVI, S. (2019). Risk Assessment in Bridge Construction Projects in Iran Using Monte Carlo Simulation...
  • NI, H., CHEN, A., CHEN, N. (2010). Some extensions on risk matrix approach. Saf Sci, 48, 1269–1278. https://doi.org/10.1016/j.ssci.2010.04.005
  • PEACE, C. (2017). The risk matrix: Uncertain results? Policy and Practice in Health and Safety, 15, 131–144. https://doi.org/10.1080/14773996.2017.1348571
  • PROJECT MANAGEMENT INSTITUTE. (2009). Practice Standard for Project Risk Management. Project Management Institute, Inc., Newtown Square, Pennsylvania...
  • PROJECT MANAGEMENT INSTITUTE. (2017). A Guide to the Project Management Body of Knowledge: PMBoK(R) Guide, 6th editi. Project Management...
  • PROJECT MANAGEMENT INSTITUTE. (2019). The standard for Risk Management in Portfolios, Programs and Projects. Project Management Institute,...
  • PROTO, R., RECCHIA, G., DRYHURST, S., FREEMAN, A.L.J. (2023). Do colored cells in risk matrices affect decision-making and risk perception?...
  • QAZI, A., DIKMEN, I. (2021). From risk matrices to risk networks in construction projects. IEEE Trans Eng Manag, 68, 1449–1460. https://doi.org/10.1109/TEM.2019.2907787
  • QAZI, A., SHAMAYLEH, A., EL-SAYEGH, S., FORMANECK, S. (2021). Prioritizing risks in sustainable construction projects using a risk...
  • QAZI, A., SIMSEKLER, M.C.E. (2021). Risk assessment of construction projects using Monte Carlo simulation. International Journal of...
  • REZAEI, F., NAJAFI, A.A., RAMEZANIAN, R. (2020). Mean-conditional value at risk model for the stochastic project scheduling...
  • SARYKALIN, S., SERRAINO, G., URYASEV, S. (2008). Value-at-Risk vs. Conditional Value-at-Risk in Risk Management and Optimization. State-of-the-Art...
  • SIMON, P., HILLSON, D., NEWLAND, K. (1997). PRAM Project Risk Analysis and Management Guide. Association for Project Management, Norwich,...
  • SUTHERLAND, H., RECCHIA, G., DRYHURST, S., FREEMAN, A.L.J. (2022). How People Understand Risk Matrices, and How Matrix Design Can...
  • TALBOT, J. (2014). What’s right with risk matrices? A great tool for risk managers... [WWW Document]. 31000risk. https://31000risk.wordpress.com/article/what-s-right-with-risk-matrices-3dksezemjiq54-4/....
  • THE STANDISH GROUP. (2022). Chaos report [WWW Document]. https://standishgroup.myshopify.com/collections/all (accessed 9.6.23).
  • THOMAS, P., BRATVOLD, R.B., BICKEL, J.E. (2014). The risk of using risk matrices. SPE Economics and Management, 6, 56–66. https://doi.org/10.2118/166269-pa
  • TRAYNOR, B.A., MAHMOODIAN, M. (2019). Time and cost contingency management using Monte Carlo simulation. Australian Journal of...
  • VANHOUCKE, M. (2016). Integrated Project Management Sourcebook: A Technical Guide to Project Scheduling, Risk and Control. Springer.
  • VATANPOUR, S., HRUDEY, S.E., DINU, I. (2015). Can public health risk assessment using risk matrices be misleading?. Int J Environ Res Public...
  • VOSE, D. (2008). Risk Analysis: a Quantitative Guide, 3rd ed. ed. Wiley, Chichester,
  • U.K.WARD, S. (1999). Assessing and managing important risks. International Journal of Project Management, 17, 331–336https://doi.org/https://doi.org/10.1016/S0263-7863(98)00051-9