Show simple item record

dc.contributor.authorPokutta, Sebastian
dc.date.accessioned2018-03-02T20:40:58Z
dc.date.available2018-03-02T20:40:58Z
dc.date.issued2018-02-15
dc.identifier.urihttp://hdl.handle.net/1853/59362
dc.descriptionPresented on February 15, 2018 at 12:00 p.m. in the Georgia Tech Manufacturing Institute, 1st floor auditorium.en_US
dc.descriptionSebastian 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.descriptionRuntime: 74:05 minutesen_US
dc.description.abstractIn 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.extent74:05 minutes
dc.language.isoen_USen_US
dc.relation.ispartofseriesSupply Chain and Logistics Seminar Seriesen_US
dc.subjectMachine learningen_US
dc.subjectSupply chainen_US
dc.titleApplications of Machine Learning in the Supply Chainen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Supply Chain and Logistics Instituteen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Machine Learning at Georgia Techen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Industrial and Systems Engineeringen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record