Main Content
IPDU - Intelligent Production Control in a Digitized Enterprise (finished)
The project IPDU develops a holistic method for the planning of discrete manufacturing processes by using data obtained directly from the manufacturing processes. We consider the following problems of producing small and medium-sized enterprises (SME):
- Increasing number of production variants
- Smaller batch sizes for individual orders
- Minimal usage and evaluation of the data generated in the production process
Goals of the project:
- Establish a tool for dynamic, intelligent planning
- Exploiting the potential of digitization and Big Data
- Improvement of forecast accuracy
- Improve company-specific KPIs: Delivery reliability, resource utilization
- Automatic processing of the data obtained in the manufacturing process
- Dynamic adaption of production planning
Research approaches:
- Development of a scheduling algorithm based on a multi-agent system
- Simulation of machine utilization using high-level Petri nets
- Recognition of production-relevant events on data streams occurring in the manufacturing process