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

  • Fernando Loarte-Flores
    ,
  • ,
  • Nestor Mamani-Macedo
    ,
  • Carlos Raymundo-Ibañez(corresponding author)
    ,
  • Francisco Dominguez
*Corresponding author for this work
  • Universidad Peruana de Ciencias Aplicadas
    ,
  • Universidad Rey Juan Carlos
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-review

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Peer-review

Host publication Subtitle

Future Applications, IHIET-AI 2020

Original language

English

Pages from-to (Number of pages)

Pages 603-609 (7 pages)

Publication milestones

  • Published - 2020

Publication status

Published - 2020

Publisher

Springer

Publication series

  • Publication series name: Advances in Intelligent Systems and Computing
    ISSN (Print): 2194-5357
    ISSN (Electronic): 2194-5365
    Volume: 1152 AISC
9783030442668

Publication IDs

  • Scopus: 85085219723

Host publication title

Human Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies

Host publication editors

  • Tareq Ahram
  • Redha Taiar
  • Vincent Gremeaux-Bader
  • Kamiar Aminian

Abstract

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.

Publication metrics

Metrics

Scopus
Citations

Related Event

Title

2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020

Event type

Conference

Date

23/04/2020 - 25/04/2020

Location

LausanneSwitzerland