Applying machine learning methods for supply chain risk management to predict supply chain disruptions
| dc.contributor | Aalto University | en |
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor.advisor | Basu, Gautam | |
| dc.contributor.author | Laakkonen, Anssi | |
| dc.contributor.department | Tieto- ja palvelujohtamisen laitos | fi |
| dc.contributor.school | Kauppakorkeakoulu | fi |
| dc.contributor.school | School of Business | en |
| dc.date.accessioned | 2023-01-22T17:07:09Z | |
| dc.date.available | 2023-01-22T17:07:09Z | |
| dc.date.issued | 2022 | |
| dc.format.extent | 70 | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/119080 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202301221434 | |
| dc.language.iso | en | en |
| dc.location | P1 I | fi |
| dc.programme | Information and Service Management (ISM) | en |
| dc.subject.keyword | machine learning | en |
| dc.subject.keyword | supply chain risk management | en |
| dc.subject.keyword | disruptions | en |
| dc.subject.keyword | artificial intelligence | en |
| dc.title | Applying machine learning methods for supply chain risk management to predict supply chain disruptions | en |
| dc.type | G2 Pro gradu, diplomityö | fi |
| dc.type.ontasot | Master's thesis | en |
| dc.type.ontasot | Maisterin opinnäyte | fi |
| local.aalto.electroniconly | yes | |
| local.aalto.openaccess | no |