Optimisation of waste rock placement using mixed integer programming
Cost reduction via optimising the scheduling of waste rock placement has a very high potential of success, as large volumes of waste rock are involved in operating an open pit mine, along with high rehabilitation costs. Such scheduling must satisfy both mine planning and environmental considerations...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Maney Publishing
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/14787 |
| _version_ | 1848748716477906944 |
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| author | Li, Y. Topal, Erkan Williams, D. |
| author_facet | Li, Y. Topal, Erkan Williams, D. |
| author_sort | Li, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Cost reduction via optimising the scheduling of waste rock placement has a very high potential of success, as large volumes of waste rock are involved in operating an open pit mine, along with high rehabilitation costs. Such scheduling must satisfy both mine planning and environmental considerations, for which mixed integer programming (MIP) models are a well suited methodology. A base MIP model, along with two variants, is created and implemented for a hypothetical mine site. Upon solving the MIP problem with more than two million possible combinations, optimised waste rock placement schedules are automatically generated. The detailed schedules will assist mine planning engineers in mine design and in improving the environmental performance of a waste rock dump. |
| first_indexed | 2025-11-14T07:09:28Z |
| format | Journal Article |
| id | curtin-20.500.11937-14787 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:09:28Z |
| publishDate | 2014 |
| publisher | Maney Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-147872018-08-08T00:42:13Z Optimisation of waste rock placement using mixed integer programming Li, Y. Topal, Erkan Williams, D. Cost reduction via optimising the scheduling of waste rock placement has a very high potential of success, as large volumes of waste rock are involved in operating an open pit mine, along with high rehabilitation costs. Such scheduling must satisfy both mine planning and environmental considerations, for which mixed integer programming (MIP) models are a well suited methodology. A base MIP model, along with two variants, is created and implemented for a hypothetical mine site. Upon solving the MIP problem with more than two million possible combinations, optimised waste rock placement schedules are automatically generated. The detailed schedules will assist mine planning engineers in mine design and in improving the environmental performance of a waste rock dump. 2014 Journal Article http://hdl.handle.net/20.500.11937/14787 10.1179/1743286314Y.0000000070 Maney Publishing restricted |
| spellingShingle | Li, Y. Topal, Erkan Williams, D. Optimisation of waste rock placement using mixed integer programming |
| title | Optimisation of waste rock placement using mixed integer programming |
| title_full | Optimisation of waste rock placement using mixed integer programming |
| title_fullStr | Optimisation of waste rock placement using mixed integer programming |
| title_full_unstemmed | Optimisation of waste rock placement using mixed integer programming |
| title_short | Optimisation of waste rock placement using mixed integer programming |
| title_sort | optimisation of waste rock placement using mixed integer programming |
| url | http://hdl.handle.net/20.500.11937/14787 |