From Data to Delivery - Predicting delivery times for vehicles

dc.contributor.authorProtopapa, Fabrizio
dc.contributor.mentorHeimsch, Fabian
dc.contributor.partnerCompany in the automotive industry
dc.date.accessioned2023-12-22T17:27:04Z
dc.date.available2023-12-22T17:27:04Z
dc.date.issued2023
dc.description.abstractAccurately 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.urihttps://irf.fhnw.ch/handle/11654/41940
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialBrugg-Windisch
dc.subject.ddc330 - Wirtschaft
dc.titleFrom Data to Delivery - Predicting delivery times for vehicles
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.StudentsWorkTypeBachelor
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutBachelor of Science
relation.isMentorOfPublication1b13bcfa-4617-4b70-9eca-e7240cc72e5b
relation.isMentorOfPublication.latestForDiscovery1b13bcfa-4617-4b70-9eca-e7240cc72e5b
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