Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


Quality control in smart manufacturing (IA)

To address the challenge of data reliability, the sensors, actuators and instruments used at various levels of integration in the manufacturing process – often operating under adverse physical conditions – need to provide adequate levels of data accuracy and precision. Measurement traceability should ensure optimal manufacturing quality. Furthermore, suitable modelling and simulation approaches and data fusion techniques are needed to interpret and use sensor/actuator data in a factory. Proposals should therefore address at least three of the following aspects:

  • Integrate intelligent, cognitive, adaptive and cost-effective instruments and systems of sensors/actuators for process monitoring and control (e.g. virtual sensors and digital twins) into existing production or pilot lines;
  • Showcase real-time data validation within an actual production line, and incorporate data integrity strategies based on, e.g., distributed ledger (blockchain) technology.
  • Demonstrate how distributed, time stamped and persistent solutions for automated collection, storage, analysis and use of production data can lead to an integrated approach to zero-defect manufacturing;
  • Develop strategies for rapid line qualification and reconfiguration based on large pre-existing data sets and related open protocols.


Data pubblicazione: 19/11/2019
Scadenza presentazione domande: 5/2/2020

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