Optimisation Models for Medium-Long Term Logistics Planning in Mining
In the mining industry, the logistics planning problem involves a mining value chain that comprises stockpiles at multiple mines, a rail network, stockpiles at multiple ports, and shipping. The objective is to maximise the total material throughput subject to a range of operational and capacity rest...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/57345 |
| _version_ | 1848760054701883392 |
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| author | Phangestu, Jimmi |
| author_facet | Phangestu, Jimmi |
| author_sort | Phangestu, Jimmi |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In the mining industry, the logistics planning problem involves a mining value chain that comprises stockpiles at multiple mines, a rail network, stockpiles at multiple ports, and shipping. The objective is to maximise the total material throughput subject to a range of operational and capacity restrictions. We develop and implement an effective computational model for solving this difficult large-scale problem. Testing on real case studies demonstrates the value of our methodology. |
| first_indexed | 2025-11-14T10:09:41Z |
| format | Thesis |
| id | curtin-20.500.11937-57345 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:09:41Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-573452022-10-09T23:44:37Z Optimisation Models for Medium-Long Term Logistics Planning in Mining Phangestu, Jimmi In the mining industry, the logistics planning problem involves a mining value chain that comprises stockpiles at multiple mines, a rail network, stockpiles at multiple ports, and shipping. The objective is to maximise the total material throughput subject to a range of operational and capacity restrictions. We develop and implement an effective computational model for solving this difficult large-scale problem. Testing on real case studies demonstrates the value of our methodology. 2017 Thesis http://hdl.handle.net/20.500.11937/57345 Curtin University fulltext |
| spellingShingle | Phangestu, Jimmi Optimisation Models for Medium-Long Term Logistics Planning in Mining |
| title | Optimisation Models for Medium-Long Term Logistics Planning in Mining |
| title_full | Optimisation Models for Medium-Long Term Logistics Planning in Mining |
| title_fullStr | Optimisation Models for Medium-Long Term Logistics Planning in Mining |
| title_full_unstemmed | Optimisation Models for Medium-Long Term Logistics Planning in Mining |
| title_short | Optimisation Models for Medium-Long Term Logistics Planning in Mining |
| title_sort | optimisation models for medium-long term logistics planning in mining |
| url | http://hdl.handle.net/20.500.11937/57345 |