IIP-Ecosphere – Next Level Ecosphere for Intelligent Industrial Production

The digitization of the industry as well as the increasing interconnectedness fundamentally change the efficiency and complexity of technical systems and the related processes in this field. Industrial production (Industry 4.0) is considered a promising candidate for the introduction of artificial intelligence (AI) based methods offering high-potential for improving production efficiency, flexibility and quality within and across factory borders.

The vision of IIP-Ecosphere is to enable self-optimization of the production on the basis of interconnected, intelligent, autonomous systems in order to increase productivity, flexibility, robustness and efficiency. The goals is the creation of a novel ecosystem - the Next Level Ecosphere for Intelligent Industrual Production (IIP-Ecosphere), which enables a "next level" in the intelligent production. To realize this vision, IIP-Ecosphere includes activities that ease the application of AI methods in the intelligent production and demonstrate them in real applicaiton scenarios. These activities target the removal of existing obstacles and foster the inclusion of new stakeholders. In particular, SMEs and startups shall be enabled to successfully apply and evolve AI-methods for the intelligent production.

After the realization phase, the consortium expects that a working ecosystem for the intelligent production has been created, which offers added values for its stakeholders in a sustainable manner, e.g., services, innovations, best practices, AI solutions, blue prints, technologies, interconnections and qualifications. During the realization phase, the ecosystem will be built up by an active community, which takes up the offers of the ecosystem and supports its creation and evolution.

The research of the Software Systems Enginnering group of the University Hildesheim will focus on the systematic development of the platform, which operates at the core of the ecosystem and interconnects the actors and stakeholders. In particular, the work will focus on topics like software architectures, platform engineering, configuration and adaptation mechanisms.

Runtime: 3 years

Contact: Dr. Holger Eichelberger


Abt. Software Systems Engineering