SciELO - Scientific Electronic Library Online

 
vol.78 número170MOTOR CURRENT SIGNATURE ANALYSIS AND NEGATIVE SEQUENCE CURRENT BASED STATOR WINDING SHORT FAULT DETECTION IN AN INDUCTION MOTORNATURAL RESOURCES SUSTAINABILITY: IRON ORE MINING índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


DYNA

versão impressa ISSN 0012-7353

Resumo

BOTIN, JOSÉ A.; GUZMAN, RONALD R.  e  SMITH, MARTIN L.. A METHODOLOGICAL MODEL TO ASSIST IN THE OPTIMIZATION AND RISK MANAGEMENT OF MINING INVESTMENT DECISIONS. Dyna rev.fac.nac.minas [online]. 2011, vol.78, n.170, pp.221-226. ISSN 0012-7353.

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.

Palavras-chave : mining; project; risk management.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons