Mineral resource estimation is a key step in the process of planning a mine operation. Traditional methods consider single orebody model as a true representation of the mineral deposit. This ignores the geological uncertainty and its corresponding risk. Stochastic orebody simulations capture inherent uncertainty of mineral deposits. The latest developments in the field of stochastic mine planning include the simultaneous optimization of the different elements of a mineral value chain. A multiple neighborhood optimization algorithm is applied in this paper to a copper-molybdenum mine. The results highlight the ability of the method to improve the long-term plan and provide a risk profile.