Using Machine Learning for Improved Production Planning in the Concrete Supplier Business
| dc.contributor.advisor | Semini, Marco | |
| dc.contributor.author | Morken, Ask Norheim | |
| dc.date.accessioned | 2021-10-28T17:20:20Z | |
| dc.date.available | 2021-10-28T17:20:20Z | |
| dc.date.issued | 2021 | |
| dc.identifier | no.ntnu:inspera:78072401:25056133 | |
| dc.identifier.uri | https://hdl.handle.net/11250/2826383 | |
| dc.description.abstract | ||
| dc.description.abstract | In this thesis, the use of artificial intelligence within production planning is researched. A developed tool using reinforcement to learn to create suitable production schedules is presented. | |
| dc.language | eng | |
| dc.publisher | NTNU | |
| dc.title | Using Machine Learning for Improved Production Planning in the Concrete Supplier Business | |
| dc.type | Master thesis |
