Groupe d’études et de recherche en analyse des décisions

G-2017-79

Dynamic mid-term optimization of a mining complex under uncertainty

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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.

, 13 pages