The production of automotive electronics for future mobility is based on automated lines that secure highest quality and output. For the production and assembly of respective PCBs an effective ZDM approach and availability is paramount. Key features, such as “product/component quality”, “cost control” and “time-to-market” for multi-millions of products outline the situation in the automotive industry at the brink of a new economic scenario and govern the global competitiveness.
As to Equipment Data Collection and Communication, it is obvious that:
(i) Sensing and combining data from a variety of sources is essential to enable a progressive approach. Setting a standard for data formats in shop floor communication, such as “Bluetooth 4.0 for Autonomous Quality” is crucial, aiming at achieving an independent format for machine communication;
(ii) Autonomous quality control loops, as well as recognition a management of unstructured data for several production lines all over Europe requires establishing an “EU-Cloud “for safe, secure and trustworthy data processing;
(iii) The adoption of Big Data technology in supervisory and strategic decision-making actions on production lines and the full supply grid are the gateway to immediate reaction to problems.
The pilot supports the realization of a ZDM Scenario for multi-stage production lines through introduction of deep analysis and decision-making control loops, for capturing, communicating, secure storing and visualizing real-time holistic data on products, material, equipment, environment, human actions; in relation to quality control and processes. Essential KPIs, such as FPY, OEE, MTBF/MTTR, PPM and Control loop time throughout the supply network will be fully taken into account.