Titlebook: Advances in Applied Strategic Mine Planning; Roussos Dimitrakopoulos Book 2018 The Australasian Institute of Mining and Metallurgy 2018 Mi

金哥占卜者

Hao Yan,Chuanzhu Sun,Shan Wang,Lijun Bai. This stochastic framework increases the value of production schedules by 25%. Case studies also show that stochastic optimal pit limits:.Results suggest a potential new contribution to the sustainable utilisation of natural resources.

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Cheng Tang,Di Wang,Ah-Hwee Tan,Chunyan Miaodules of greater ultimate value may be realised. We discuss how conditional simulations can assist with rigorously valuing the trade-off between the cost of extra drilling and the schedules of greater value that may be constructed from the resultant block models of greater accuracy.

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全等

Lorenzo Tausani,Alberto Testolin,Marco Zorzi Yandi. It is used for optimal design of the ultimate pits and the mining phases contained within those pits. In designing the mining phases, Blasor ensures that all market tonnage, grade and impurity constraints are observed whilst maximising the nett discounted cash flow (DCF) of the joint venture operation.

parasite

Shaofu Lin,Yuanyuan Zhao,Zhisheng Huang uses a simulated annealing algorithm at different decision levels in order to generate a stochastic-based extraction sequence and processing policies. A case study shows its ability to generate a higher NPV while facing a reduced amount of risk when compared to traditional optimization methods.

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使困惑

https://doi.org/10.1007/978-3-319-69320-0Mine Planning Optimization; Orebody Modelling; Stochastic Simulation; Sustainable Natural Resource Util

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978-3-319-88755-5The Australasian Institute of Mining and Metallurgy 2018

inferno

Mi Li,Shengfu Lu,Jiaojiao Li,Ning Zhongmate pit shells and stockpile rules and procedures as encompassing current best practice in mine planning. This optimisation is typically carried out for a single set of assumptions about:.About the only thing we can be sure of is that the assumptions on all these factors will be wrong, yet we conti