Comprehensive Strategic Risk Management System to Reduce Evaluation Times in Small-Scale Mining Projects

Fernando Loarte-Flores, Yaneth Vasquez-Olivera, Nestor Mamani-Macedo, Carlos Raymundo-Ibañez, Francisco Dominguez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

Mining investment represents high risk for any company within or outside this area, and this has repercussions, above all, for the small companies that do not have any investment capital that they can set aside. The methods used to assess investment projects are traditional, with economic estimates such as the Net Present Value (NPV) to determine the project’s profitability. However, these methods do not assess risk factors or qualitative variables, such as socio-environmental factors or the project’s limitations on a supply chain. Given the uniqueness of each mining project variable, a systematic tool simplifying variable identification and ensuring an accurate evaluation of the mining project in its prefeasibility stage is required. This research aims to create and implement the Risk Management Balanced Scorecard approach as a project evaluation tool that will help reduce the evaluation times and implement the project risk variables, which will be analyzed by a number of experts with great experience in the industry. The results will determine the project viability or non-viability for investment.

Idioma originalInglés
Título de la publicación alojadaHuman Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies
Subtítulo de la publicación alojadaFuture Applications, IHIET-AI 2020
EditoresTareq Ahram, Redha Taiar, Vincent Gremeaux-Bader, Kamiar Aminian
EditorialSpringer
Páginas603-609
Número de páginas7
ISBN (versión impresa)9783030442668
DOI
EstadoPublicada - 2020
Evento2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020 - Lausanne, Suiza
Duración: 23 abr. 202025 abr. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1152 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020
País/TerritorioSuiza
CiudadLausanne
Período23/04/2025/04/20

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