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SCHOLAR AND EDUCATOR

Better logistics in the face of uncertainty

I'm a professor. I research methods to solve sequential decision problems. I teach analytics, supply chain management, and reinforcement learning.

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Research That Solves Real Problems

My work advances theory and contributes to practice

Fleet of self-driving vehicles

Driverless Vehicle Operations

Autonomous ridesharing is the future of public transit. "Dynamic Ridehailing with Electric Vehicles," published in Transportation Science, provides AI methods to match riders with vehicles and position the fleet in anticipation of future use and charging needs.

Road sign displaying: what are you waiting for?

Convenient and Reliable Service

Time is valuable. Stop waiting around for the cable guy. In the face of uncertain demand, "Optimal Service Time Windows," published in Transportation Science, shows firms how to reduce time window size without compromising on service.

Electric van charging

Sustainable Last-Mile Distribution

Don't let uncertainty in the availability of public chargers stop a transition to EVs. "Electric Vehicle Routing with Public Charging Stations," published in Transportation Science, establishes a suite of optimization tools to design delivery routes that anticipate station queue dynamics.

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Teaching That Builds Insight

I make quantitative analysis accessible to students at all levels

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Betting On Uncertain Demand

Executives and professionals learn why their forecasts are wrong and what to do about it. Instead of relying on a single figure, they learn how to hedge against the unknown by laying down resources across a range of outcomes.

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Algorithms to Live By

Undergrads learn how to make math personal. What should we do (or not) in a day or a lifetime? What amount of new and familiar is most fulfilling? How much mess is ok? A course about the problems we face, and how math can help us discover something about ourselves.

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Sequential Decisions

Doctoral students take a deep dive into reinforcement learning. They study strategies for making choices that are good now and into the future. The course brings together modern methods across dynamic programming, optimal control, and AI.

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More About Me

I'm a professor at Saint Louis University's Chaifetz School of Business where I direct the master's program in supply chain management. I studied business analytics and industrial engineering at the University of Iowa (PhD) and the University of Missouri (MS, MBA, BS). My research appears in leading academic journals, such as Operations Research and Transportation Science, and has been internationally recognized by the Institute for Operations Research and the Management Sciences (INFORMS). Through the Emerson Excellence in Teaching Awards program, I have been recognized as a top educator in the St. Louis metropolitan area. In addition to research and teaching, I consult with companies to develop solutions for complex logistics, operational, and supply chain problems.

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Justin Goodson speaking with a colleague