Optimisation Models for Medium-Long Term Logistics Planning in Mining
dc.contributor.author | Phangestu, Jimmi | |
dc.contributor.supervisor | Prof. Louis Cacetta | en_US |
dc.date.accessioned | 2017-11-03T04:16:22Z | |
dc.date.available | 2017-11-03T04:16:22Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/57345 | |
dc.description.abstract |
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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Optimisation Models for Medium-Long Term Logistics Planning in Mining | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | Mathematics and Statistics | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |