Scenario evaluation through Mine Schedule Optimisation
The Schedule Optimisation Tool (SOT) is a software that identifies the sequence (schedule) of mine development and the ore production activities that maximise the Net Present Value (NPV). A case study exercise in a live mine planning process found that SOT added over a hundred million dollars of val...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Gecamin
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/36590 |
| _version_ | 1848754812958539776 |
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| author | Fava, L. Millar, D. Maybee, Bryan |
| author2 | Romke Kuyvenhoven |
| author_facet | Romke Kuyvenhoven Fava, L. Millar, D. Maybee, Bryan |
| author_sort | Fava, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The Schedule Optimisation Tool (SOT) is a software that identifies the sequence (schedule) of mine development and the ore production activities that maximise the Net Present Value (NPV). A case study exercise in a live mine planning process found that SOT added over a hundred million dollars of value to the orebody. SOT has been enhanced to allow automated generation and evaluation of mine design parameters. The first enhancement allows the automated evaluation of schedules over a range of operational resource constraints. Heuristics can be used to seed the starting point of the search; for example, by prioritising production from specific stopes based on their mineral grades. The second enhancement allows a user‐specified ranking to be applied as a seeding heuristic. A third enhancement allows automated application of sequencing rules for primary and secondary stopes. SOT provides substantial assistance to the mine planner, allowing for strategic decisions based on a thorough evaluation of mine design parameters. |
| first_indexed | 2025-11-14T08:46:22Z |
| format | Conference Paper |
| id | curtin-20.500.11937-36590 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:46:22Z |
| publishDate | 2011 |
| publisher | Gecamin |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-365902023-01-27T05:52:10Z Scenario evaluation through Mine Schedule Optimisation Fava, L. Millar, D. Maybee, Bryan Romke Kuyvenhoven Enrique Rubio Martin Smith The Schedule Optimisation Tool (SOT) is a software that identifies the sequence (schedule) of mine development and the ore production activities that maximise the Net Present Value (NPV). A case study exercise in a live mine planning process found that SOT added over a hundred million dollars of value to the orebody. SOT has been enhanced to allow automated generation and evaluation of mine design parameters. The first enhancement allows the automated evaluation of schedules over a range of operational resource constraints. Heuristics can be used to seed the starting point of the search; for example, by prioritising production from specific stopes based on their mineral grades. The second enhancement allows a user‐specified ranking to be applied as a seeding heuristic. A third enhancement allows automated application of sequencing rules for primary and secondary stopes. SOT provides substantial assistance to the mine planner, allowing for strategic decisions based on a thorough evaluation of mine design parameters. 2011 Conference Paper http://hdl.handle.net/20.500.11937/36590 Gecamin fulltext |
| spellingShingle | Fava, L. Millar, D. Maybee, Bryan Scenario evaluation through Mine Schedule Optimisation |
| title | Scenario evaluation through Mine Schedule Optimisation |
| title_full | Scenario evaluation through Mine Schedule Optimisation |
| title_fullStr | Scenario evaluation through Mine Schedule Optimisation |
| title_full_unstemmed | Scenario evaluation through Mine Schedule Optimisation |
| title_short | Scenario evaluation through Mine Schedule Optimisation |
| title_sort | scenario evaluation through mine schedule optimisation |
| url | http://hdl.handle.net/20.500.11937/36590 |