Optimisation Models for Medium-Long Term Logistics Planning in Mining
Prof. Louis Cacetta
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Science and Engineering
Mathematics and Statistics
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.
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