When: Thursday 28th of September, 1pm AEST
Where: This seminar will be partially presented at the Rose Street Seminar area (J04) and partially online via Zoom. RSVP
Speaker: Dr Mohammadreza Chamanbaz
Title: Stochastic Shovel Rate Planner: Here and Now, Wait and See
We develop and test a robust mixed-integer programming (MILP) model for computing the optimal loading rate of shovels in open-pit mines. We consider various uncertainties and categorise them into contingencies- events that either happen or not, such as shovel disruption- and continuous variations, such as changes in chemical composition. The problem is formulated as a two-stage stochastic optimisation and solved in a receding horizon fashion. The proposed methodology is simulated for an open-pit mine in Australia’s Pilbara region. The simulation results confirm the effectiveness of the proposed stochastic optimisation approach in minimising the effect of uncertainty on the operation.
Mohammadreza Chamanbaz received his Ph.D. from the Department of Electrical & Computer Engineering, National University of Singapore in 2014. From 2014 to 2017, he was a postdoctoral research fellow at the Singapore University of Technology and Design. He was an Assistant Professor at Arak University of Technology, Arak, Iran, from Jan 2017 to Jan 2019 and a senior research fellow at iTrust Center for Research in Cyber Security, Singapore, from Jan 2019 to June 2020. He is now a Research Fellow, at the Rio Tinto Center for Mine Automation, Australian Centre for Field Robotics, the University of Sydney. His research activities mainly focus on stochastic optimisation, robust control, distributed optimisation and secure control of cyber-physical systems.