From Data to Delivery - Predicting delivery times for vehicles
dc.contributor.author | Protopapa, Fabrizio | |
dc.contributor.mentor | Heimsch, Fabian | |
dc.contributor.partner | Company in the automotive industry | |
dc.date.accessioned | 2023-12-22T17:27:04Z | |
dc.date.available | 2023-12-22T17:27:04Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Accurately predicting the delivery time for vehicles often proves to be difficult. The complexity inherent in supply chains and additional factors influencing them in general, make it near impossible to derive meaningful calculations and predictions by hand. The automotive industry faced many challenges to overcome over the past few years. COVID-19 not only limited resources but caused all kinds of disruptions along the supply chain. The War in Ukraine further added to that instability and both events caused longer delivery times for vehicles, parts, and even raw materials. | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/41940 | |
dc.language.iso | en | |
dc.publisher | Hochschule für Wirtschaft FHNW | |
dc.spatial | Brugg-Windisch | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | From Data to Delivery - Predicting delivery times for vehicles | |
dc.type | 11 - Studentische Arbeit | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.PublishedSwitzerland | Yes | |
fhnw.StudentsWorkType | Bachelor | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Bachelor of Science | |
relation.isMentorOfPublication | 1b13bcfa-4617-4b70-9eca-e7240cc72e5b | |
relation.isMentorOfPublication.latestForDiscovery | 1b13bcfa-4617-4b70-9eca-e7240cc72e5b |