The development of effective methods for system planning and design aims at generating economic benefits from the capabilities and freedom of freely linked and modular assembly systems.
The multi-modal presentation of data in varying levels of aggregation and its interpretation in accordance with the intended type of recipient yield a strong benefit and faster man-machine and machine-machine collaboration. Real-time data offers both, effective usage of smart wearables and consolidating information about the production system’s efficiency, failure rates and the product’s quality.
The next level of traceability is achieved by recording the metrological information of the product. This information is stored in data models representing each individual product and is used for quality assurance and control input for sequential production processes.
Physical components and processes, as well as virtual objects and process descriptions of production systems, are unified via open, real-time communication. This interlinking of the physical and virtual worlds results in next generation production systems.
The system captures and measures the environment to allow appropriate responses to unforeseen situations within the production process by means of self-optimization. Due to the variable availability of resources and functionalities of the actors, process scheduling must be explored and adjusted where necessary.
Robots with cooperative dependencies within handling and joining processes require model-based as well as real-time control, taking validated metrological data into consideration.