Esmat (Yasi) Sangari

Dr. Esmat (Yasi) Sangari serves as an Assistant Professor in Business Analytics and Information Systems. Her research focuses on the applications of operations research, game theory, and optimization algorithms to examine different aspects of design, planning, and operations management in supply chains. Also, she works on pricing and price-matching strategies in omni-channel retail systems. The main goal of her research is to provide actionable insights into profitability and efficiency improvement for supply chain players. She received her Ph.D. in Industrial Engineering and Management Sciences from Northwestern University and her B.Sc. and M.Sc. in Industrial Engineering from University of Tehran.

• Omni-channel retail management
• Supply chain and operations management
• Pricing and revenue management
• Large language models

• Northwestern University, Ph.D. in Industrial Engineering and Management Sciences, 2021
• University of Tehran, M.Sc. in Industrial Engineering, 2015
• University of Tehran, B.Sc. in Industrial Engineering - Systems Analysis, 2013

• Lecturer in Supply Chain, Operations, and Technology, Olin Business School, Washington University in St. Louis

• Sangari, E., Jolai, F., & Sangari, M. S. (2024). A novel fuzzy finite-horizon economic lot and delivery scheduling model with sequence-dependent setups. Complex & Intelligent Systems, 1-23.
• Rabbani, M., Keyhanian, S., Aryaee, M., & Sangari, E. (2018). Solving an Integrated Sales-Leasing Problem With Remanufacturing and Inventory Shortage Using Differential Evolution. International Journal of Operations Research and Information Systems (IJORIS), 9(3), 1-26.
• Farrokhi-Asl, H., Tavakkoli-Moghaddam, R., Asgarian, B., & Sangari, E. (2017). Metaheuristics for a bi-objective location-routing-problem in waste collection management. Journal of Industrial and Production Engineering, 34(4), 239-252.
• Azadeh, A., Sangari, M. S., Sangari, E., & Fatehi, S. (2015). A particle swarm algorithm for optimising inspection policies in serial multistage production processes with uncertain inspection costs. International Journal of Computer Integrated Manufacturing, 28(7), 766-780.