Analisis cuantitativo de riesgos utilizando "MCSimulRisk" como herramienta didactica

Abstract

Risk management is a fundamental discipline in project management, which includes, among others, quantitative risk analysis. Throughout several years of teaching, we have observed difficulties in students performing Monte Carlo Simulation within the quantitative analysis of risks. This article aims to present MCSimulRisk as a teaching tool that allows students to perform Monte Carlo simulation and apply it to projects of any complexity simply and intuitively. This tool allows for incorporating any uncertainty identified in the project into the model.

13 pages, in Spanish language

References in corpus (5)

• Stochastic Earned Value Analysis using Monte Carlo Simulation and Statistical Learning Techniques
• Impact of aleatoric, stochastic and epistemic uncertainties on project cost contingency reserves
• On the project risk baseline: integrating aleatory uncertainty into project scheduling
• Project Risk Management from the bottom-up: Activity Risk Index
• Analisis cuantitativo de riesgos utilizando "MCSimulRisk" como herramienta didactica

Cited by in corpus (2)

• Beyond probability-impact matrices in project risk management: A quantitative methodology for risk prioritisation
• Analisis cuantitativo de riesgos utilizando "MCSimulRisk" como herramienta didactica