Simultaneous optimization of ultimate pit and production scheduling using a heuristic approach
CIM Journal Preprint, Vol. 8, No. 4, 2017
B. Samanta and A. K. Mahto
Department of Mining Engineering, Indian Institute of Technology, Kharagpur, India
A heuristic model was developed to simultaneously generate the ultimate pit and production scheduling at a mining project. The methodology consists of three main activities: (i) a preprocessing step to select a starter pit, (ii) implementation of a genetic algorithm to optimize the pit and schedule of the starter pit, and (iii) a network flow algorithm-based post-processing operation to finalize the ultimate pit and production scheduling. As a case study, the model was applied to an iron ore mine. The net present value of the pit and schedule produced by the model is 21% higher than a reference pit and schedule prepared by experienced field engineers.
Block grade model, Circular reasoning problem, Economic block model, Maximum flow algorithm, Net present value (NPV), Pit optimization, Production scheduling