Author:
Findlay Liam,Dimitrakopoulos Roussos
Abstract
AbstractSemi-mobile in-pit crushing and conveying (IPCC) systems can help reduce truck haulage in open-pit mines by bringing the crusher closer to the excavation areas. Optimizing a production schedule with semi-mobile IPCC requires integrating extraction sequence, destination policy, crusher relocation, conveyor layout, and truck fleet investment decisions. A mining complex with multiple mines and IPCC systems should be optimized simultaneously to find an optimal schedule for the entire value chain. An integrated stochastic optimization framework is proposed to produce long-term production schedules for mining complexes using multiple semi-mobile IPCC systems. The optimization model has flexibility to select the crusher locations and conveyor routes from anywhere inside the pits. The framework uses simulated orebody realizations to consider multi-element grade uncertainty and manage associated risk. A hybrid metaheuristic solution approach based on simulated annealing and evolutionary algorithms is implemented. The method is demonstrated using an iron ore mining complex.
Publisher
Springer Science and Business Media LLC
Reference60 articles.
1. Utley RW (2011) In-pit crushing. In: Mining engineering handbook, 3rd edn. Society for mining, metallurgy, and exploration, Englewood, pp 941–956
2. Radlowski JK (1988) In-pit crushing and conveying as an alternative to an all truck system in open pit mines. Master’s Thesis, University of British Columbia
3. Norgate T, Haque N (2013) The greenhouse gas impact of IPCC and ore-sorting technologies. Miner Eng 42:13–21. https://doi.org/10.1016/j.mineng.2012.11.012
4. Hustrulid WA, Kuchta M, Martin RK (2013) Open pit mine planning and design, two volume set & CD-ROM pack, 3rd edn. CRC Press, London
5. Johnson TB (1968) Optimum open pit production scheduling. Ph.D. Thesis, University of California, Berkeley