Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming
A mine waste dump progression plan can provide a clear outlook of the mining operation. To produce such an output requires detailed placement schedule of the mined material, including the volume (or tonnage) and the allocated dumping location. However, current practise mainly focuses on the ore...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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The Australasian Institute of Mining and Metallurgy
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/41626 |
| _version_ | 1848756197527650304 |
|---|---|
| author | Li, Y Topal, Erkan Ramazan, S. |
| author2 | R. Dimitrakopoulos |
| author_facet | R. Dimitrakopoulos Li, Y Topal, Erkan Ramazan, S. |
| author_sort | Li, Y |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A mine waste dump progression plan can provide a clear outlook of the mining operation. To produce such an output requires detailed placement schedule of the mined material, including the volume (or tonnage) and the allocated dumping location. However, current practise mainly focuses on the ore production, over-simplifying the waste material scheduling. As a result, a rock dump is often treated as a single point in long-term planning, making it difficult to predict the waste dump progression pattern over the life-of-mine. Without such a guidance, it is almost impossible to carry out progressive rehabilitation on the waste rock dumps. The lack of dumping schedule could cause delay in development construction, ie tailing storage facility and run-of-mine pad. Other downstream effect due to the over-simplification is inaccurate estimation of required truck hours, which could have huge financial impact on the operation.In this paper, mixed integer programming (MIP) models of different objective functions, ie maximise truck productivity by minimising the overall haulage distance, minimise required truck deviation between adjacent years, and a hybrid between the two objectives, are utilised to generate the long-term optimum rock placement schedules under the criteria of satisfying site specific conditions. All three MIP models are implemented in a large scale open pit mine. The numerical solutions from the models forms three different rock placement schedules, based on which, the yearly truck requirements are easily calculated and compared. The graphical results show the three corresponding waste dump progression patterns over the life-of-mine, providing the optimised long-term forecast of the operation |
| first_indexed | 2025-11-14T09:08:22Z |
| format | Conference Paper |
| id | curtin-20.500.11937-41626 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:08:22Z |
| publishDate | 2014 |
| publisher | The Australasian Institute of Mining and Metallurgy |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-416262017-01-30T14:53:42Z Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming Li, Y Topal, Erkan Ramazan, S. R. Dimitrakopoulos A mine waste dump progression plan can provide a clear outlook of the mining operation. To produce such an output requires detailed placement schedule of the mined material, including the volume (or tonnage) and the allocated dumping location. However, current practise mainly focuses on the ore production, over-simplifying the waste material scheduling. As a result, a rock dump is often treated as a single point in long-term planning, making it difficult to predict the waste dump progression pattern over the life-of-mine. Without such a guidance, it is almost impossible to carry out progressive rehabilitation on the waste rock dumps. The lack of dumping schedule could cause delay in development construction, ie tailing storage facility and run-of-mine pad. Other downstream effect due to the over-simplification is inaccurate estimation of required truck hours, which could have huge financial impact on the operation.In this paper, mixed integer programming (MIP) models of different objective functions, ie maximise truck productivity by minimising the overall haulage distance, minimise required truck deviation between adjacent years, and a hybrid between the two objectives, are utilised to generate the long-term optimum rock placement schedules under the criteria of satisfying site specific conditions. All three MIP models are implemented in a large scale open pit mine. The numerical solutions from the models forms three different rock placement schedules, based on which, the yearly truck requirements are easily calculated and compared. The graphical results show the three corresponding waste dump progression patterns over the life-of-mine, providing the optimised long-term forecast of the operation 2014 Conference Paper http://hdl.handle.net/20.500.11937/41626 The Australasian Institute of Mining and Metallurgy restricted |
| spellingShingle | Li, Y Topal, Erkan Ramazan, S. Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming |
| title | Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming |
| title_full | Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming |
| title_fullStr | Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming |
| title_full_unstemmed | Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming |
| title_short | Optimising the Long-term Mine Waste Dump Progression and Truck Hour Schedule in a Large-scale Open Pit Mine Using Mixed Integer Programming |
| title_sort | optimising the long-term mine waste dump progression and truck hour schedule in a large-scale open pit mine using mixed integer programming |
| url | http://hdl.handle.net/20.500.11937/41626 |