Análisis cuantitativo de riesgos utilizando "MCSimulRisk" como herramienta didáctica
Year: 2024
Type: article
Abstract: Practical classes are an ideal and essential complement to theoretical classes. Risk Management, taught in the Master's Degree in Project Management at the University of Valladolid, mainly focuses on project uncertainty and quantitative risk analysis. To transmit the knowledge tangibly to the students, the theoretical classes are complemented with practical classes, where the students carry out exercises related to the subject taught, reinforcing the knowledge acquired. Quantitative risk analysis involves Monte Carlo simulation as the most appropriate method for dealing with project uncertainty. Our experience as teachers, teaching Monte Carlo simulation applied to quantitative risk analysis in projects for several years, helped us detect students' difficulties when using specific commercial software tools during the project modelling process. This fact motivated us to look for a solution to facilitate the student's work in class and help increase their learning. This led us to create the teaching software application called ‘MCSimulRisk’. In this article, we present the didactic tool 'MCSimulRisk' that we will use as a teaching tool to carry out Monte Carlo simulation and project control. ‘MCSimulRisk' was developed to solve the problems encountered by the students during the laboratory exercises after the experience acquired when using other commercial tools. The use of this tool is intended to (1) allow students to efficiently carry out Monte Carlo simulation for any project network, regardless of its complexity; (2) easily integrate into the model different types of uncertainty (aleatoric, stochastic, and epistemic one) that may affect the project objectives. In addition to the above, this tool should help research efforts by extending lines of research yet to be addressed in the literature to integrate different types of uncertainty.
Source: Dirección y Organización
Institution: Universidad de Valladolid
Language: Spanish
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4396836581