This study presents a production scheduling optimization method for a mining complex, which provides a flexible long-term plan for future investments and operational decisions. This strategic planning method uses an adapted two-stage SIP model which expands upon the two-stage framework by performing multiple recourse stages that are solved iteratively, allowing parallel designs in a scenario-tree structure. In this model, dynamic decisions are made sequentially over time, based on new information. A case study with options to invest over trucks and a secondary crusher show an increased expected NPV compared to the two-stage stochastic formulation.