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Título
Monte Carlo Simulation for Project Risk Prioritisation
Año del Documento
2024-04-26
Editorial
Springer Nature
Descripción
Producción Científica
Documento Fuente
Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). p. 455-460
Abstract
Qualitative project risk assessment is standard practice in project management and involves prioritising risks using a probability and impact matrix. Due to the shortcomings of using this tool for risk prioritisation (poor resolution, errors, suboptimal resource allocation or ambiguous inputs and outputs, among others), we propose a quantitative prioritisation of project risks in this article, analysing the impact of each risk on the project’s duration and cost objectives.
Palabras Clave
Probability-Impact Matrix · Quantitative Risk Analysis · Risk Management · Quantitative Risk Analysis · Monte Carlo Simulation · MCSimulRisk
ISSN
2367-4512
Revisión por pares
SI
Patrocinador
This research has been partially financed by Junta de Castilla y León (Spain) and the European Regional Development Fund (ERDF, FEDER) with grant VA180P20.
Version del Editor
Propietario de los Derechos
Springer Nature
Idioma
spa
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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