Sourcing Risk Detection and Prediction with Online Public Data: An Application of Machine Learning Techniques in Supply Chain Risk Management.

dc.contributor.advisorRobert Handfield, Chair
dc.contributor.advisorHans Heese, Member
dc.contributor.advisorArun P. Gupta, Technical Consultant
dc.contributor.advisorLori Rothenberg, Member
dc.contributor.advisorWilliam Rand, Member
dc.contributor.authorSun, Hang
dc.date.accepted2019-07-15
dc.date.accessioned2019-08-07T12:30:26Z
dc.date.available2019-08-07T12:30:26Z
dc.date.defense2019-04-26
dc.date.issued2019-04-26
dc.date.released2019-08-07
dc.date.reviewed2019-05-16
dc.date.submitted2019-05-14
dc.degree.disciplineOperations Research
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg17276
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/36900
dc.rights
dc.titleSourcing Risk Detection and Prediction with Online Public Data: An Application of Machine Learning Techniques in Supply Chain Risk Management.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
79.11 MB
Format:
Adobe Portable Document Format

Collections