Classical quality monitoring approaches for productions systems, such as Statistical Quality Control (SQC) and Statistical Process Control (SPC) are time consuming as they involving a lot of manual labor, making it a costly approach and yielding a slow reactive control of performances. Given the importance of delivering high-quality products and the increasing product variability, the Flemish manufacturing industry is looking for new approaches that allow easy reconfigurability and prove fast feedback loops or can even predict product quality. Recent developments in the domains on industrial internet-of-things (IoT), new sensing solutions, interconnected machinery and smart tools can provide data to build assembly monitoring systems which provide fast feedback to operators and coordinators at different levels to assist them in defining the necessary countermeasures.
In this project, manufacturing companies, hardware and software technology providers and service providers will join forces to realize such inline quality monitoring and dashboarding for IoT-enabled assembly systems. An IoT-enabled system architecture for such IoT-enabled assembly monitoring and quality dashboarding systems, its implementation and concepts of operation will be investigated and validated on Flanders Make research infrastructure and at industrial assembly systems of the participating manufacturing companies.
The project aims to achieve two goals:
- Investigate: We aim to investigate generic concepts of operation and related IoT-enabled system architectures for assembly quality monitoring and dashboarding systems suited for deployment in HMLV production.
- Validate: The designed assembly monitoring and dashboarding architectures will be validated on Flanders Make research infrastructure and on industrial settings.
Qdash_ICON is an Industrial Research ICON project. We are looking for companies to join the User Group and work with us on the valorisation of the project.
Interested? Complete the form below and we will contact you as soon as possible.