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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationHuman Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies
Subtitle of host publicationFuture Applications, IHIET-AI 2020
EditorsTareq Ahram, Redha Taiar, Vincent Gremeaux-Bader, Kamiar Aminian
PublisherSpringer
Pages603-609
Number of pages7
ISBN (Print)9783030442668
DOIs
StatePublished - 2020
Externally publishedYes
Event2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020 - Lausanne, Switzerland
Duration: 23 Apr 202025 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1152 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020
Country/TerritorySwitzerland
CityLausanne
Period23/04/2025/04/20

Keywords

  • Balanced Scorecard
  • Evaluation
  • Investment
  • Mining companies
  • Prefeasibility
  • Risk

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