Yossiri Adulyasak

Canada Research Chair in Supply Chain Analytics

Tier 2 - 2018-01-01
Renewed: 2023-04-01
HEC Montréal
Natural Sciences and Engineering Research Council


Research involves

Integrating operations research and machine learning techniques to transform supply chain planning and execution.

Research relevance

This research aims to make supply chains more responsive, agile and cost-effective, increasing Canadian businesses’ ability to compete globally.

Research summary

Supply chain management relies heavily on data analysis and real-time decision-making to respond to rapidly changing environments. Manufacturers and retailers are under great pressure to leverage these data to make their complex supply chains more sustainable, responsive and resilient. But the decision-making tools commonly used in retail and supply chain industries are out of date, and generally cannot be adapted to make use of the volume of new data or make decisions in real time.

As Canada Research Chair in Supply Chain Analytics, Dr. Yossiri Adulyasak is using operations research and machine learning techniques to enhance supply chains in various industries. He and his research team are developing analytics tools to improve the sustainability, responsiveness and resilience of supply chains. These tools will enable Canadian firms to perform better and be more competitive in challenging and uncertain environments.