Artificial Intelligence in Automation

Uni PrOpA: Entwicklung eines universellen Prozessoptimierungsassistenten für den produzierenden Mittelstand als selbstlernendes Expertensystem

Prof. Dr. rer. nat. Oliver Niggemann
01.08.2015 bis 31.01.2017

The core element of the 4th industrial revolution (Industry 4.0) is a long-rang modularization and changeability of batch-size 1 production systems. Thereby, it should be possible, that production systems could be adjusted quickly to the different products. Furthermore, individual products should be fully automatically produced. One central challenge consists of the efficiently parameterization and optimization of the production systems after their reconstruction to achieve the required target functions like resource consumption (e.g. energy), machine cycle time/throughput (produced unit per hour) and quality (surface roughness). In this project "Uni PrOpA", a solution for automatically optimization of such parameters will be developed, which addresses the challenge in manufacturing industry.

In a modular, flexible production process, the physical features of the products change accordingly to each new product variation. Therefore, the target functions of optimization change accordingly. To achieve an optimized production process, such problems should be addressed and solved in this project.

This project is promoted by:
Bundesministerium für Wirtschaft und Energie (BMWi)
Sponsors: Projektträger Jülich
Funding Code: ZF4036802KM5
Stakeholders / Contacts: Dr.-Ing. Peng Li
Employees: Dr.-Ing. Peng Li
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