Bibliographic citations
Arteaga, G., Ocampo, C. (2022). Incrementar la confiabilidad de la estimación del presupuesto y cronograma aplicando la simulación de montecarlo en la gestión de riesgos durante la etapa de planificación de proyectos públicos de infraestructura educativa en el departamento de Piura [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/660507
Arteaga, G., Ocampo, C. Incrementar la confiabilidad de la estimación del presupuesto y cronograma aplicando la simulación de montecarlo en la gestión de riesgos durante la etapa de planificación de proyectos públicos de infraestructura educativa en el departamento de Piura [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/660507
@misc{renati/399914,
title = "Incrementar la confiabilidad de la estimación del presupuesto y cronograma aplicando la simulación de montecarlo en la gestión de riesgos durante la etapa de planificación de proyectos públicos de infraestructura educativa en el departamento de Piura",
author = "Ocampo Neyra, César Manuel",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
At present, foreseeable risks are a threat that can affect public educational infrastructure projects in different ways, causing considerable deviations and an increase in the cost and timeframe originally planned. This thesis is based on the elaboration and development of a feasible and efficient methodology that serves as an applicative and adaptable tool for any public project, regardless of the type, size, scope, or location. As the research covers the public sector, it is necessary to have clear concepts and guidelines indicated by the Supervisory Agency for State Procurement (OSCE) but complemented with tools and typologies mentioned by the Project Management Body of Knowledge (PMBOK) The research is also supported by expert judgment, information obtained from similar investigations, and the authors' own criteria to identify potential foreseeable risks in the project. Next, the risks are validated, their impact on the items of the projects to be studied is determined and finally the quantitative analysis is carried out through the Montecarlo simulation, through the @Risk software. For each project contingency values are obtained regarding the incidence of risks, both in cost and term. It can be concluded that the methodology developed is beneficial if it is implemented in the stage of preparation of the technical file, in the risk management phase, indicating the contingency value necessary to achieve a confidence level of 95%.
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