The “Internet of Things” in Glass Processing

The glass processing of tomorrow will organize its ordering, production, and delivery processes by itself and optimize continuously with each process step. This includes production-related dynamic cost calculation, autonomous production planning, and predictive maintenance, as well as self-organizing dynamic production.

For dynamic automatic cost calculation, cost information from all phases and areas can be collected, prepared, and made available to production planning and controlling in structured fashion, so that production planning can concentrate better on its core tasks. Predictive maintenance makes a significant contribution to better production planning, longer machine run times, and greater availability of the machines. Maintenance intervals are no longer specified, but rather oriented according to individual wear and actual need. In self-organizing production, processing machines are not permanently assigned; instead, through communication, the workpiece finds the suitable machine that is available fastest for its processing state for the next processing step. The requirement for this is continuous traceability of the overall process, from order to production and dispatch, on through to installation of the finished product. In the end, intelligent self-service Business Intelligence tools serve to aggregate, analyze, and display multiple data from heterogeneous, incompatible sources. The speaker will show how these Smart Factory processes can be made usable in an integrated software solution for the flat glass industry.