Data mining and analysis is combined with sound process engineering principles when conducting process performance investigations. Process efficiencies are quantified and opportunities for improvement identified. Close consideration is given to process stability, the role of the operator, instrumentation, control system logic, equipment efficiencies, metallurgical performance, and operational costs. Dynamic and steady state modelling and simulations allows for determination of optimal operating regimes. Recommendations from these studies that are implemented result in significant process performance improvements.