2026-06-01T17:13:25Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/368732026-02-03T10:54:51Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Acebes Senovilla, Fernando
author
Curto, David
author
González-Varona, José Manuel
author
Pajares, Javier
2025-01-23T19:12:00Z
2025-01-23T19:12:00Z
2024
Acebes, F., Curto, D., González-Varona, J.M., Pajares, J., 2024. MCSimulRisk: an Educational Tool for Quantitative Risk Analysis. SNE Simul. Notes Eur. 34, 149–153. https://doi.org/10.11128/sne.34.en.10695
23060271
https://hdl.handle.net/10630/36873
10.11128/sne.34.en.10695
MCSimulRisk (Monte Carlo Simulation for Risk Analysis) is an application developed in MATLAB for Monte Carlo Simulation and quantitative risk analysis. In the Master's Degree in Project Management at the University of Valladolid, "Risk Management" is taught. Quantitative risk analysis is an essential part of teaching this subject. In the last few courses, students have used commercial applications that allow Monte Carlo Simulation in this subject. To correct the problems detected while students did laboratory exercises, we decided to develop this educational tool with the following main objectives: (1) allow students to efficiently carry out Monte Carlo Simulation for any project network, regardless of its complexity; (2) easily integrate different types of uncertainty (aleatoric, stochastic and epistemic) that can impact project objectives into the model. In addition to the above, this tool should help research tasks by extending research lines not yet addressed in the literature to integrate distinct types of uncertainty.
eng
Atribución 4.0 Internacional
Gestión del riesgo
MCSimulRisk: an Educational Tool for Quantitative Risk Analysis.
journal article
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URL
https://riuma.uma.es/bitstreams/49c2dd9f-018f-46bb-b590-a504e71b015f/download
File
MD5
987fdf8e195155f16add9be2dd7d496e
105547
application/pdf
sne.34.3.10695.en.OA.pdf