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This study develops a simulation-optimization framework for short-term planning in open-pit mines, integrating in-pit crushing and conveying (IPCC) with a mixed-integer linear programming (MILP) model and Monte Carlo haulage simulation to address operational uncertainties. The framework aims to minimize haulage costs while meeting production targets and has been validated through a case study in an iron ore mine, showing promising results for adopting semi-mobile IPCC systems over traditional truck-shovel o

Author

Francponcel

Language

EN