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

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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.descriptionNorth Carolina State University Theses Operations Research.
dc.formatPh.D. North Carolina State University, 2019.
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.
dcterms.extent1 online resource (ix, 243 pages) : illustrations, charts

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