Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem
Underground mine planning requires an optimal stope layout as a prerequisite for the definition of an optimal production schedule. The procedure to generate an optimal stope layout considers an orebody model and economic parameters as inputs. Itevaluates all possible combinations of mining blocks an...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
The Australasian Institute of Mining and Metallurgy
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/33099 |
| _version_ | 1848753851851603968 |
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| author | Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar |
| author2 | R. Dimitrakopoulos |
| author_facet | R. Dimitrakopoulos Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar |
| author_sort | Sandanayake, D. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Underground mine planning requires an optimal stope layout as a prerequisite for the definition of an optimal production schedule. The procedure to generate an optimal stope layout considers an orebody model and economic parameters as inputs. Itevaluates all possible combinations of mining blocks and creates a set of stopes by satisfying the physical mining and geotechnical constraints. Thus, the procedure is computationally complex, and generating a solution to the problem is a challenge. This paper presents an implementation of a new heuristic algorithm that solves the stope layout problem. In two case studies, the algorithm achieves 11.2 per cent and 22.5 per cent superior solutions to the industrially available maximum value neighbourhood approach. |
| first_indexed | 2025-11-14T08:31:05Z |
| format | Conference Paper |
| id | curtin-20.500.11937-33099 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:31:05Z |
| publishDate | 2014 |
| publisher | The Australasian Institute of Mining and Metallurgy |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-330992017-01-30T13:35:00Z Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar R. Dimitrakopoulos Underground mine planning requires an optimal stope layout as a prerequisite for the definition of an optimal production schedule. The procedure to generate an optimal stope layout considers an orebody model and economic parameters as inputs. Itevaluates all possible combinations of mining blocks and creates a set of stopes by satisfying the physical mining and geotechnical constraints. Thus, the procedure is computationally complex, and generating a solution to the problem is a challenge. This paper presents an implementation of a new heuristic algorithm that solves the stope layout problem. In two case studies, the algorithm achieves 11.2 per cent and 22.5 per cent superior solutions to the industrially available maximum value neighbourhood approach. 2014 Conference Paper http://hdl.handle.net/20.500.11937/33099 The Australasian Institute of Mining and Metallurgy restricted |
| spellingShingle | Sandanayake, D. Topal, Erkan Asad, Mohammad Waqar Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem |
| title | Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem |
| title_full | Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem |
| title_fullStr | Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem |
| title_full_unstemmed | Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem |
| title_short | Implementing a New Heuristic Approach to the Underground Mine Stope Layout Problem |
| title_sort | implementing a new heuristic approach to the underground mine stope layout problem |
| url | http://hdl.handle.net/20.500.11937/33099 |