Abstract: A Comparison of Mathematical Optimization and Deep Reinforcement Learning for Supply Chain Materials Planning (2018 AIChE Annual Meeting)

Christian D. Hubbs^1,2, Satyajith Amaran³, John M. Wassick⁴, Nick Sahinidis⁵ and Ignacio E. Grossmann⁵, (1)Supply Chain Innovation Center, The Dow Chemical Company, Belfast, United Kingdom, (2)Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, (3)Engineering & Process Sciences R&D, The Dow Chemical Company, Freeport, TX, (4)Supply Chain Expertise Center, The Dow Chemical Company, Midland, MI, (5)Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA

See more of this Session: Advances in Machine Learning and Intelligent Systems
See more of this Group/Topical: Computing and Systems Technology Division

530734 A Comparison of Mathematical Optimization and Deep Reinforcement Learning for Supply Chain Materials Planning