Robust decision making - Application to mine planning under price uncertainty

Many projects fail because project performance in unfavourable economic conditions was not anticipated at the investment decision stage. This type of failure may have been avoided through the selection of a strategy that enables the project to perform well under a range of possible future economic c...

Full description

Bibliographic Details
Main Authors: Grobler, Francois, Elkington, T., Rendu, J.
Format: Conference Paper
Published: 2011
Online Access:http://hdl.handle.net/20.500.11937/52437
_version_ 1848758926315618304
author Grobler, Francois
Elkington, T.
Rendu, J.
author_facet Grobler, Francois
Elkington, T.
Rendu, J.
author_sort Grobler, Francois
building Curtin Institutional Repository
collection Online Access
description Many projects fail because project performance in unfavourable economic conditions was not anticipated at the investment decision stage. This type of failure may have been avoided through the selection of a strategy that enables the project to perform well under a range of possible future economic conditions (a 'robust' strategy); rather than an 'optimal' strategy for expected future conditions that will never eventuate. This paper describes a method of rapidly generating mine plans for a number of project strategies, and then evaluating it against a representative range of equally likely economic conditions. The key performance indicators derived for each strategy are the mean value and the distribution of values (variance). A prudent investor will identify prospective strategies not only on the merit of highest mean values (as a proxy for economic reward), but also on the probability of not meeting specified investment hurdles (a proxy for risk). A robust strategy will achieve its financial objective even under adverse economic variations. This paper focuses on the effect of commodity price uncertainty; particularly around the choice of mining and processing capacity levels. Results from enumerating 2000 prices scenarios against 63 strategy combinations show how processing and mining capacity can be manipulated to manage the risk-reward trade-off.
first_indexed 2025-11-14T09:51:45Z
format Conference Paper
id curtin-20.500.11937-52437
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:51:45Z
publishDate 2011
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-524372017-04-28T13:58:49Z Robust decision making - Application to mine planning under price uncertainty Grobler, Francois Elkington, T. Rendu, J. Many projects fail because project performance in unfavourable economic conditions was not anticipated at the investment decision stage. This type of failure may have been avoided through the selection of a strategy that enables the project to perform well under a range of possible future economic conditions (a 'robust' strategy); rather than an 'optimal' strategy for expected future conditions that will never eventuate. This paper describes a method of rapidly generating mine plans for a number of project strategies, and then evaluating it against a representative range of equally likely economic conditions. The key performance indicators derived for each strategy are the mean value and the distribution of values (variance). A prudent investor will identify prospective strategies not only on the merit of highest mean values (as a proxy for economic reward), but also on the probability of not meeting specified investment hurdles (a proxy for risk). A robust strategy will achieve its financial objective even under adverse economic variations. This paper focuses on the effect of commodity price uncertainty; particularly around the choice of mining and processing capacity levels. Results from enumerating 2000 prices scenarios against 63 strategy combinations show how processing and mining capacity can be manipulated to manage the risk-reward trade-off. 2011 Conference Paper http://hdl.handle.net/20.500.11937/52437 restricted
spellingShingle Grobler, Francois
Elkington, T.
Rendu, J.
Robust decision making - Application to mine planning under price uncertainty
title Robust decision making - Application to mine planning under price uncertainty
title_full Robust decision making - Application to mine planning under price uncertainty
title_fullStr Robust decision making - Application to mine planning under price uncertainty
title_full_unstemmed Robust decision making - Application to mine planning under price uncertainty
title_short Robust decision making - Application to mine planning under price uncertainty
title_sort robust decision making - application to mine planning under price uncertainty
url http://hdl.handle.net/20.500.11937/52437