End-to-End Data Driven Design of After-Sales-Services for Digital Cutters
Beschreibung
This project supports the after-sales service business for cutting machines with an end-to-end approach combining dynamic monitoring, fault diagnostics, and service simulations into a decision support model. This model helps the service organization grow business and reduce costs.
Eckdaten
Projektleitung
Projektteam
Dr. Lilach Goren Huber, Dr. Jan Thomas Palmé, Lukas Schweiger, Melissa Stucki
Projektstatus
abgeschlossen, 04/2022 - 09/2024
Institut/Zentrum
Institut für Datenanalyse und Prozessdesign (IDP)
Drittmittelgeber
Innovationsprojekt / Projekt Nr. 58314.1 IP-SBM