Title:
Applications of Machine Learning in the Supply Chain

dc.contributor.author Pokutta, Sebastian
dc.contributor.corporatename Georgia Institute of Technology. Supply Chain and Logistics Institute en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Machine Learning at Georgia Tech en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Industrial and Systems Engineering en_US
dc.date.accessioned 2018-03-02T20:40:58Z
dc.date.available 2018-03-02T20:40:58Z
dc.date.issued 2018-02-15
dc.description Presented on February 15, 2018 at 12:00 p.m. in the Georgia Tech Manufacturing Institute, 1st floor auditorium. en_US
dc.description Sebastian Pokutta is the David M. McKenney Family Associate Professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. He is also the director of the Interactive Optimization and Learning Lab and an Associate Director of the Center for Machine Learning @ GT. Dr. Pokutta's research concentrates on combinatorial optimization and polyhedral combinatorics, and in particular focuses on cutting-plane methods and extended formulations. en_US
dc.description Runtime: 74:05 minutes en_US
dc.description.abstract In this talk we will explore the possibilities of machine learning in supply chains and logistics. We will see that modern machine learning methods, often in a black box fashion, allow us to move from model-driven decision-making to data-driven decision-making. This results in high levels of flexibility and agility, which is of ever-increasing importance in fast-paced supply chain and logistics environments. We will lay out the foundation of this paradigm and look at specifics examples from the supply chain and logistics context. en_US
dc.format.extent 74:05 minutes
dc.identifier.uri http://hdl.handle.net/1853/59362
dc.language.iso en_US en_US
dc.relation.ispartofseries Supply Chain and Logistics IRC Seminar Series en_US
dc.subject Machine learning en_US
dc.subject Supply chain en_US
dc.title Applications of Machine Learning in the Supply Chain en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Supply Chain and Logistics Institute
local.relation.ispartofseries Supply Chain and Logistics Institute Seminar Series
relation.isOrgUnitOfPublication 66533535-cc55-4954-8577-c0335f25e9ef
relation.isSeriesOfPublication cd8be8eb-afc2-4f94-9cbf-b06941f32ee7
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