Ryan Goodfellow – McGill University, Canada
A mining complex is an integrated operation that extracts materials from open pit and underground mines, processes the extracted materials using a set of processing streams, and generates a set of products that are delivered to customers or sold on the spot market. As the size of the mining complex increases, there is a compounded effect that uncertainty has on the various components, and stochastic optimization approaches are needed to manage this risk. This talk will cover a generalized stochastic optimization model that can be adapted to solve large-scale mixed integer non-linear mine production scheduling optimization problems with supply uncertainty. This model is optimized using a metaheuristic solver based on simulated annealing and differential evolution. Next, we will provide applications of these models and methods to real-world case studies and, finally, discuss ongoing efforts to disseminate this research into the mining industry.
Coffee and biscuits will be offered at the beginning of the seminar.
Welcome to everyone!
Université de Montréal Campus