معرفی
Yossiri Adulyasak is a Full Professor in the Department of Operations and Logistics Management at HEC Montréal, where he was promoted to this position effective June 1, 2025. He also holds an appointment as Associate Professor in the Department of Computer Science and Operational Research at the University of Montreal since May 2022. Adulyasak is a member of the GERAD research center since February 2017 and holds the Canada Research Chair in Supply Chain Analytics.
His educational background includes a Ph.D. in Operations and Logistics Management from HEC Montréal, where his doctoral research focused on planning systems in supply chains, and a Master of Civil Engineering in Transportation Engineering from Chulalongkorn University.
Professor Adulyasak's research centers on supply chain analytics, with particular emphasis on stochastic and robust optimization under uncertainty. His work bridges operations research, artificial intelligence, and supply chain management, focusing on real-world applications in logistics, inventory management, and sequential decision-making processes. He investigates how to integrate demand forecasting with optimization frameworks and develops algorithms that can predict disruptions and recommend mitigation measures in supply chain operations.
His recent publications demonstrate a strong trend toward integrating AI and machine learning techniques with traditional optimization methods to address complex supply chain challenges. The research spans multiple domains including electric vehicle routing, drone delivery, facility location under uncertainty, and pandemic response strategies. His work frequently appears in top-tier journals across operations research, transportation science, and management science.
- Canada Research Chair in Supply Chain Analytics (2018-present)
- Prix d'impact en recherche (HEC Montréal, 2024)
- Prix du meilleur cas de gestion (2024)
- 1st place for Prix de la pratique (Société canadienne de recherche opérationnelle, 2024)
- Best Paper Award for 2021 ('The value of aggregate service levels in stochastic lot sizing problems')
Professor Adulyasak has supervised numerous doctoral and master's students, with 3 doctoral theses completed or in progress, 5 master's theses, and 37 supervised master's projects. His students have worked on diverse topics including inventory management, demand forecasting, supply chain network design, and optimization of logistics systems. He has collaborated extensively with industry partners including Bombardier, Pratt & Whitney Canada, and Hydro-Québec on research projects addressing real-world supply chain challenges.
As an active member of GERAD and holding the Canada Research Chair in Supply Chain Analytics, Adulyasak leads a research group focused on developing advanced optimization techniques for supply chain applications. His team works at the intersection of operations research, artificial intelligence, and business analytics to create innovative solutions for complex decision-making problems under uncertainty.
