A methodological model to assist in the optimization and risk management of mining investment decisions
Identifying, quantifying, and minimizing technical risks associated with investment decisions is a key challenge for mineral industry decision makers and investors. However, risk analysis in most bankable mine feasibility studies are based on the stochastic modelling of project "Net Present Val...
- Autores:
-
Botín, José A.
Guzmán, Ronald R.
Smith, Martin L.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2011
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/40546
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/40546
http://bdigital.unal.edu.co/30643/
- Palabra clave:
- mining
project
risk management
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | Identifying, quantifying, and minimizing technical risks associated with investment decisions is a key challenge for mineral industry decision makers and investors. However, risk analysis in most bankable mine feasibility studies are based on the stochastic modelling of project "Net Present Value" (NPV)which, in most cases, fails to provide decision makers with a truly comprehensive analysis of risks associated with technical and management uncertainty and, as a result, are of little use for risk management and project optimization. This paper presents a value-chain risk management approach where project risk is evaluated for each step of the project lifecycle, from exploration to mine closure, and risk management is performed as a part of a stepwise value-added optimization process. |
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