Full metadata
Title
SOLUTIONS TO SUPPLY CHAIN PROBLEMS USING ARTIFICIAL INTELLIGENCE
Description
This project did a deep dive on AI, business applications for AI and then my team and I built an AI model to better understand shipping patterns and inefficiencies of different porting regions.
Date Created
2021-05
Contributors
- Freudenberger, Evan Martin (Author)
- Wiedmer, Robert (Thesis director)
- Duarte, Brett (Committee member)
- Thunderbird School of Global Management (Contributor)
- Department of Supply Chain Management (Contributor)
- Department of Finance (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
43 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2020-2021
Handle
https://hdl.handle.net/2286/R.I.64100
Level of coding
minimal
Cataloging Standards
System Created
- 2021-05-01 12:24:14
System Modified
- 2021-08-11 04:09:57
- 3 years 5 months ago
Additional Formats