Pilot - SIEMENS SIMATIC Products Quality Improvements
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: AUTOWARE
Updated at: 14-09-2023
Project: AI REGIO
Updated at: 04-07-2023
Project: BEinCPPS
Updated at: 29-09-2022
Project: BEinCPPS
Updated at: 29-09-2022
Project: SYMBIO-TIC
Updated at: 29-09-2022
Project: DigiPrime
Updated at: 03-02-2022
Operational services aim to collect product data on post-use Li-Ion batteries about their use phase in order to enable monitoring and full traceability of its life-cycle;
Project: SAFIRE
Updated at: 04-06-2021
RFID Positioning System – Use of multiple RFID receivers within the cell would allow for 3D location tracking of the parts to be assembled in the system, ensuring parts are correctly present and in the right locations before proceeding.
Project: SAFIRE
Updated at: 22-03-2021
Project: SAFIRE
Updated at: 22-03-2021
Project: QU4LITY
Updated at: 28-07-2020
Project: vf-OS
Updated at: 29-11-2019
Project: USE-IT-WISELY
Updated at: 15-08-2019
Project: TWIN-CONTROL
Updated at: 13-02-2019
Project: TWIN-CONTROL
Updated at: 13-02-2019
Through innovative algorithms and statistical methods, possible data sources for predictive quality control can be identified and evaluated. Moreover, by cooperation of all project partners, the realization of data access and acquisition along the whole process chain can be realized. With a focus on algorithms and methodology, a use case-specific algorithm is going to be implemented and validated to maintain high prediction accuracy.
Data availability is a challenge: Limited access to measurement data (due to limited access to third-party systems)