RT Journal Article
T1 MCSimulRisk: an Educational Tool for Quantitative Risk Analysis.
A1 Acebes Senovilla, Fernando
A1 Curto, David
A1 González-Varona, José Manuel
A1 Pajares, Javier
K1 Gestión del riesgo
AB 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.
PB ARGESIM
SN 23060271
YR 2024
FD 2024
LK https://hdl.handle.net/10630/36873
UL https://hdl.handle.net/10630/36873
LA eng
NO 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
NO https://www.sne-journal.org/aims-and-scope
NO This research has been partially financed by the Regional Government of Castilla and Leon (Spain) with Grant VA180P20
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026