Rate My Professor Mike Hewitt

Hewitt's research specializes in optimization techniques for transportation and logistics systems, including stochastic programming, freight transportation planning, and supply-dependent demand models. He is a prolific scholar with more than 50 publications in premier journals such as Operations Research, Transportation Science, INFORMS Journal on Computing, INFOR, and Omega. Key works include "The Continuous-Time Service Network Design Problem" (2017, cited over 270 times), "Planning Strategies for Home Health Care Delivery" (2016), "Perspectives on Using Benders Decomposition to Solve Two-Stage Stochastic Mixed-Integer Programs" (year not specified), "Strategic Expansion of Freight Transportation Hub Networks under Demand Uncertainty" (2025), and "Branch and Price for the Stochastic Traveling Salesman Problem with Generalized Latency" (2025). His expertise has been sought by major corporations, including Bayer Crop Science, Exxon Mobil, Saia Motor Freight, Schneider, and Yellow Roadway, for critical logistics decisions. Hewitt has received prestigious honors, including Loyola University Chicago's Faculty Member of the Year (2025), Faculty Researcher of the Year (2015), a Fulbright Scholar award for research in Australia in 2026, and selection as an Amazon Scholar. In teaching, he emphasizes practical skills for professional success, linking supply chain concepts to mission-driven challenges like food security, and delivers courses in France while advising PhD students and post-doctoral researchers across Europe. Through the Supply Chain and Sustainability Center, he organizes seminars on global trade, tariffs, and sustainable agriculture, contributing to both academic discourse and industry practice.