A model for innovative production IT
The challenges facing production have grown enormously. These challenges are leading to increased complexities like a high product diversity, short delivery times, fast process changes, smaller batch sizes up to batch size 1. In times of Industry 4.0, this is clearly a case for the Smart Factory - which in turn needs certain processes and functions to meet the growing demands. This is a job for the Smart Factory Elements.
The Smart Factory Elements make up a control loop. According to this control loop, production is planned (Planning & Scheduling) based on specifications from different sources and a plan is then implemented (Execution). The data collected is analyzed (Analytics) to make forecasts (Prediction). Subsequently, the findings from analytics and prediction flow back into planning. The Industrial Internet of Things (IIoT) supports this cycle by collecting and providing data.
A large part of these tasks can nowadays be mapped with an MES such as HYDRA - for the others, new products will gradually be introduced onto the market.
Planning & Scheduling
Industrial Internet of Things (IIoT)
... connects the operator and the real world of production with the digital image of the Smart Factory by means of networking and edge computing. The following applications are used:
- Data transfer from IIoT sensors
- Digital machine connections
- Manual data collection
- Providing information to the shop floor
- Flexible operator guidance
Application example in MES HYDRA: