Optimised decision-making under grade uncertainty in surface mining
MetadataShow full item record
Mining schedule optimisation often ignores geological and economic risks in favour of simplistic deterministic methods. In this thesis a scenario optimisation approach is developed which uses MILP optimisation results from multiple conditional simulations of geological data to derive a unique solution. The research also generated an interpretive framework which incorporates the use of the Coefficient of Variation allowing the assessment of various optimisation results in order to find the solution with the most attractive risk-return ratio.
Showing items related by title, author, creator and subject.
Zhou, Jingyang; Love, Peter; Teo, Kok Lay; Luo, H. (2017)© 2016 Informa UK Limited, trading as Taylor & Francis GroupA quadratic assignment problem (QAP), which is a combinatorial optimisation problem, is developed to model the problem of locating facilities with material flows ...
Decision Support for an Underground Gold Mining Operation - A Case Study using the Schedule Optimisation ToolFava, L.; Maybee, Bryan; Millar, D. (2012)In the context of a case study for an underground gold mine, the value generated by a schedule optimisation tool (SOT) is assessed. SOT is a software tool for underground mine planning that maximises the net present value ...
Simultaneous optimisation of stope boundaries and long term production scheduling for production shedulesLittle, J.; Topal, Erkan; Knights, P. (2011)Optimisation techniques for underground metalliferous mine design and planning are not commonplace like their open cut counterpart. Optimisation studies which have focused on underground design and planning are amenable ...