Optimised decision-making under grade uncertainty in surface mining
Mining schedule optimisation often ignores geological and economic risks in favour of simplistic deterministic methods. In this thesis a scenario optimisation approach is developed which uses MILP optimisation results from multiple conditional simulations of geological data to derive a unique soluti...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Curtin University
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/1376 |
| _version_ | 1848743649782792192 |
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| author | Grobler, Francois |
| author_facet | Grobler, Francois |
| author_sort | Grobler, Francois |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Mining schedule optimisation often ignores geological and economic risks in favour of simplistic deterministic methods. In this thesis a scenario optimisation approach is developed which uses MILP optimisation results from multiple conditional simulations of geological data to derive a unique solution. The research also generated an interpretive framework which incorporates the use of the Coefficient of Variation allowing the assessment of various optimisation results in order to find the solution with the most attractive risk-return ratio. |
| first_indexed | 2025-11-14T05:48:56Z |
| format | Thesis |
| id | curtin-20.500.11937-1376 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:48:56Z |
| publishDate | 2015 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-13762017-02-20T06:42:05Z Optimised decision-making under grade uncertainty in surface mining Grobler, Francois Mining schedule optimisation often ignores geological and economic risks in favour of simplistic deterministic methods. In this thesis a scenario optimisation approach is developed which uses MILP optimisation results from multiple conditional simulations of geological data to derive a unique solution. The research also generated an interpretive framework which incorporates the use of the Coefficient of Variation allowing the assessment of various optimisation results in order to find the solution with the most attractive risk-return ratio. 2015 Thesis http://hdl.handle.net/20.500.11937/1376 en Curtin University fulltext |
| spellingShingle | Grobler, Francois Optimised decision-making under grade uncertainty in surface mining |
| title | Optimised decision-making under grade uncertainty in surface mining |
| title_full | Optimised decision-making under grade uncertainty in surface mining |
| title_fullStr | Optimised decision-making under grade uncertainty in surface mining |
| title_full_unstemmed | Optimised decision-making under grade uncertainty in surface mining |
| title_short | Optimised decision-making under grade uncertainty in surface mining |
| title_sort | optimised decision-making under grade uncertainty in surface mining |
| url | http://hdl.handle.net/20.500.11937/1376 |