Forough Enayaty Ahangar

Forough Enayaty Ahangar

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Forough is a faculty member at the Olin Business School at Washington University in St. Louis. Prior to joining Washington University, she served as a postdoctoral associate at Cornell University. She earned her Ph.D. in Industrial Engineering from the University of Arkansas in 2017. Her research focuses primarily on mathematical modeling and optimization, with applications across a wide range of supply chain domains.

Area of Expertise

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Math Programming, Supply Chain Management, Supply Chain, Operations, and Technology

Education

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• Ph D 2017, University of Arkansas
• M.Sc. 2011, Amirkabir University of Technology
• B.Sc. 2008, Amirkabir University of Technology

Teaching Interests

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Operations Research, Operations Management, Supply Chain Management, Transportation Logistics, Integer Programming, Data Analytics, Business Analytics, Network Optimization, Probability and Statistics, Engineering Economic Analysis, Analysis of Inventory Systems

Research Interests

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Applied Operations Research, Prescriptive Analytics, Supply Chain Management, Food Quality, Network Optimization and Interdiction, Transportation Logistics, Large-scale Algorithm Design

Personal Interests

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Futsal/soccer, photography, and gardening

Selected Publications

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• "A logic-based decomposition approach for multi-period network interdiction model", Omega: The International Journal of Management Science, 71-85, with C. E. Rainwater, T. C. Sharkey, 2019
• "A survey of optimization models and methods for cyberinfrastructure security", IISE Transaction, Issue 2, 182-198, with L. A. Albert, E. B. DuBois, 2020
• "Optimizing pasteurized fluid milk shelf-life through microbial spoilage reduction", Journal of Frontiers in Sustainable Food Systems, 140, with S. Murphy, N. Martin, M. Wiedmann, R. Ivanek, 2021
• "An optimization approach for multi-floor facility layout design using flexible bays", International Journal of Industrial and Systems Engineering, 2023
• "The Role of Prescriptive Data and Non-Linear Dimension-Reduction Methods in Spare Part Classification", Journal of Computers & Industrial Engineering, with Alireza Zadeh, Marc Scott, 2023