Title:
Applications of Machine Learning in the Supply Chain
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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