Data analytics and real-time decision making play a prominent role in revolutionizing the supply chain industry today. The research program in supply chain analytics aims to transform the planning and execution processes through scientific developments that make use of operations research and machine learning techniques, and to bridge the gap between academics and practitioners.
The main goal is to enable, (1) seamless integration of planning and real-time execution to deal with uncertainty, (2) supply chain resilience to cope with unexpected disruptions, and (3) supply chain intel-ligence to constantly learn and adapt to the rapid changes in the environments around them.
Chun Cheng won the 2020 GERAD Best Thesis Competition for her thesis titled "Robust Optimization for Supply Chain Applications: Facility Location and Drone Delivery Problems". She was supervised by Yossiri Adulyasak at HEC Montréal and Louis-Martin Rousseau at Polytechnique Montréal.
Said Dabia – VU Amsterdam, Netherlands