Associate Professor
Education
- B.S. Civil (1987), University of Pretoria
- B.S. Management (1990), University of South Africa
- M.S. Civil Engineering (1993), Purdue University
- Ph.D. Industrial Engineering (1996), Purdue University
Expertise
- Operations Research
- Logistics
About
Anton Kleywegt is a faculty member in the Stewart School of Industrial and Systems Engineering at Georgia Tech.
Dr. Kleywegt conducts research in stochastic optimization and applications in transportation, logistics, and market analytics. He has also worked with Praxair, Columbian Chemicals Company, Delta Air Lines, Manhattan Associates, and The Home Depot on SCL projects in addressing logistics research in vendor managed inventory, fleet sizing and allocation, revenue management, scheduling of order picking, and distribution planning.
Dr. Kleywegt received a Ph.D. from the School of Industrial Engineering at Purdue University in 1996 and joined the ISyE faculty this same year as an assistant professor.
Research
I do research on optimization under uncertainty. Some of my previous work include the Sample Average Approximation method, and Distributionally Robust Stochastic Optimization. At the moment I am interested in exploring the use of Markov chain models in settings in which the Markovian assumption does not hold.
I also work on applications in transportation, logistics, and market analytics. I am particularly interested in the coordination of self-driving vehicles. Examples of my research include work on algorithms to coordinate the movement of self-driving vehicles through intersections, and more generally the flow of self-driving vehicles in networks. These algorithms are tested not only in simulations, but also on mobile robots. A related topic that I think is of great practical importance is the design and operation of pickup and dropoff facilities, the purpose of which is to reduce the congestion caused by pickups and dropoffs in urban areas. I also work on market analytics, especially for transportation markets, including passenger revenue management, and truckload transportation marketplaces.
Teaching
The undergraduate course that I teach most often is ISyE4111 Advanced Supply Chain Logistics, and the masters course that I teach most often is ISyE6203 Transportation and Supply Chain Systems. The main purpose of these courses is to prepare students to work successfully in supply chain management and logistics. The courses cover both supply chains as a system with multiple decision makers with different objectives, and the view of a single decision maker who wants to optimize logistics processes for a specific organization.
The PhD courses that I teach most often are ISyE6664 Stochastic Optimization and ISyE8813 Game Theory.
As the need arise I also teach ISyE3103 Introduction to Supply Chain Modeling: Logistics, ISyE3232 Stochastic Manufacturing and Service Systems, ISyE4106 Senior Design, ISyE6663 Nonlinear Optimization, ISyE6761 Stochastic Processes I, and ISyE8872 Topics in Nonlinear Optimization.
Awards and Honors
- Operations Research Meritorious Service Award 2020
- National Science Foundation CAREER Award 1999
- Operations Research Meritorious Service Award 1997
Representative Publications
Cao, Y., Kleywegt, A.J., and Wang, H., "Dynamic Pricing for Two-sided Marketplaces with Offer Expiration," Management Science.
Gao, R., Chen, X., and Kleywegt, A.J., "Wasserstein Distributionally Robust Optimization and Variation Regularization," Operations Research.
Gao, R. and Kleywegt, A.J., "Distributionally Robust Stochastic Optimization with Wasserstein Distance," Mathematics of Operations Research.
Cao, Y., Kleywegt, A.J., and Wang, H., "Network Revenue Management under a Spiked Multinomial Logit Choice Model," Operations Research.
Kleywegt, A.J. and Liu, X., "Throughput Capacity Comparison for Airport Pickup and Dropoff Facilities," Transportation Research Record.
Dai, J.G., Kleywegt, A.J., Xiao, Y., "Network Revenue Management with Cancellations and No-shows," Production and Operations Management.
Bonetto, F., Cheriyan, V., and Kleywegt, A.J., "Models of Investor Forecasting Behavior - Experimental Evidence," Journal of Risk and Financial Management.
Chun, S.Y., Kleywegt, A.J., and Shapiro, A., "When Friends Become Competitors: The Design of Resource Exchange Alliances," Management Science.
Cheriyan, V., and Kleywegt, A.J., "A Dynamical Systems Model of Price Bubbles and Cycles," Quantitative Finance.
Cooper, W.L., Homem de Mello, T.M., and Kleywegt, A.J., "Learning and Pricing with Models that Do Not Explicitly Incorporate Competition," Operations Research.
Tollefson, E., Goldsman, D., Kleywegt, A.J., and Tovey, C.A., "Optimal Selection of the Most Probable Multinomial Alternative," Sequential Analysis.
Lee, S., Homem-de-Mello, T., and Kleywegt, A.J., "Newsvendor-Type Models with Decision-Dependent Uncertainty," Mathematical Methods of Operations Research.