SCL IRC Seminar: Applications of Machine Learning in the Supply Chain

Event Details
  • Date/Time:
    • Tuesday February 20, 2018
      12:00 pm - 1:30 pm
  • Location: GTMI: 1st floor Auditorium
  • Phone:
  • URL: http://www.manufacturing.gatech.edu/directions
  • Email:
  • Fee(s):
    $25 for the general public which includes a boxed lunch.
  • Extras:
Contact

The cost to attend is $25 per session which includes a boxed lunch*. Attendance to the sessions is complimentary for SCL corporate partners, SCL Industry Advisory Board members, SCL affiliated faculty and students, and students enrolled in the Masters in Supply Chain Engineering program.

*To take advantage of the included lunch, you must register by the noted deadlines. If you have any questions, please email event@scl.gatech.edu.

Summaries

Summary Sentence: Join us for our monthly SCL IRC seminar to learn about affiiliated faculty research

Full Summary: The Supply Chain and Logistics Institute hosts a series of monthly seminars open to interested SCL faculty, students and corporate partners as well as the general public. 

Media
  • SCLIRC Seminar: Applications of Machine Learning in the Supply Chain SCLIRC Seminar: Applications of Machine Learning in the Supply Chain
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The Supply Chain and Logistics Institute hosts a series of monthly seminars open to interested faculty, students and corporate partners as well as the general public. If you are interested in attending any of the sessions, please review the below information and register online.

Applications of Machine Learning in the Supply Chain
Dr. Sebastian Pokutta
RSVP by February 15, 2018

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.

Register Online for upcoming SCL IRC seminars

 

Related Links

Additional Information

In Campus Calendar
Yes
Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE), The Supply Chain and Logistics Institute (SCL)

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
ML, machine learning, Sebastian Pokutta, physical internet
Status
  • Created By: Andy Haleblian
  • Workflow Status: Published
  • Created On: Feb 1, 2018 - 2:50pm
  • Last Updated: Nov 30, 2018 - 8:46am