Publicação
Artificial intelligence in supply chains
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Carvalho, José Crespo de | |
| dc.contributor.author | Zapke, Martin | |
| dc.date.accessioned | 2019-05-10T10:28:04Z | |
| dc.date.available | 2019-05-10T10:28:04Z | |
| dc.date.issued | 2019-01-15 | |
| dc.description.abstract | Artificial Intelligence (AI) is set to drive a new wave of digital disruption that redefines industries and propels unprecedented levels of innovation. As one of the most data-rich environments within companies, supply chains create significant opportunities to harness the benefits of AI. This study follows a qualitative research approach that aims to explore the impacts and applications of AI within the supply chain. It was found that AI creates a broad spectrum of use cases that drive efficiency, automation and customer-centricity across all components of the end-to-end supply chain. | pt_PT |
| dc.identifier.tid | 202223990 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/69190 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Artificial intelligence | pt_PT |
| dc.subject | Supply chain | pt_PT |
| dc.subject | Supply chain management | pt_PT |
| dc.title | Artificial intelligence in supply chains | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | 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 | pt_PT |