ABSTRACT
Advancement in solution algorithms and computing power continues to drive the adoption of optimization techniques within the underground mining sector. However, limitations in the available data and the choices made during the model setup can create a gap between optimal solutions and operational reality. This paper presents a mining practitioner’s guide on effectively utilizing Multi-time Period Knapsack Constraints (MPKC) in scheduling underground mine production, which can close part of that gap. Models with MPKC implemented at different time fidelities, i.e., weekly, monthly and annual, are compared by evaluating solution quality and solver performance. We provide recommendations that can assist in developing both optimal and operationally representative schedules.
