Efficient simulation for an open-pit mine

This paper presents an approach towards computationally efficient discrete-event-simulation designed to take advantage of high-performance computing architecture. We demonstrate how computational efficiency combined with large capacity enables quantification and mapping stochastic system performance across a challenging multidimensional parameter space requiring several million individual DES instances. An open-pit mine bulk materials handling case study is presented the approach. A dispatching heuristic controlling operation trucking can be optimised through selection values for four control parameters. The represented by these parameters exhaustively mapped visualised provide insight into relationships between combinations performance. extensive data generated ultimately used within hyper-heuristic determine near-optimal