Publicação
Machine learning in supply chain management
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Carvalho, José Crespo de | |
| dc.contributor.author | Hoppe, Magnus Tilmar | |
| dc.date.accessioned | 2019-05-10T10:36:27Z | |
| dc.date.available | 2019-05-10T10:36:27Z | |
| dc.date.issued | 2019-01-15 | |
| dc.description | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics | en |
| dc.description.abstract | Almost every day newspapers and online media publish articles about the ongoing development of machine learning and related applications. Eventually, the practical use cases seem infinite and the potential especially for the efficient organization of supply chains is difficult to determine. This paper examines different applications as well as the underlying operating principles of self-learning algorithms in order to derive implications for supply chain management. Furthermore, an outlook for the prospective development of machine learning and the related further establishment of cognitive automation will be presented. | pt_PT |
| dc.identifier.tid | 202223760 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/69191 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Machine learning | pt_PT |
| dc.subject | Supply chain management | pt_PT |
| dc.subject | Predictive maintenance | pt_PT |
| dc.subject | Cognitive automation | pt_PT |
| dc.title | Machine learning in supply chain management | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão | pt_PT |