Optimization of open pit mines fleet using Simulation-based optimization method (Case study: SONGUN copper mine)

In open pit mines the loaders and hauls choice , allocation and dispatching of trucks is one of the most important and complicated operational processes. That’s optimization results in great thrifts. For the analysis of this type of examples, simulation is a powerful tool.One of the basic points in the topic of simulation models is the presentment of optimization. Simulation based optimization methods are often one objective. In this Thesis it has been objected to use the multi objective forms of these methods. The considered goals are minimizing of operational cost and maximizing of production. Meta heuristic algorithms which is chosen for this issue Multi-Objective-Particle-Swarm-Optimization (MOPSO). For simulation we have used Arena’s software and for optimization used MATLAB software. The results of proposal methods implementation on Sungun mine’s loading and hauling fleet, shows that with the administration of obtained scenarios it is possible to maximize the current production of the mine 2.5 times and to reduce the operational costs of production up to 23%