Track Co-Chairs
Jens F. Lachenmaier, Senior Research Fellow, Ferdinand-Steinbeis-Institut, Germany
Günter Prockl, Associate Professor, Copenhagen Business School, Denmark
Pieter van Schalkwyk, CEO, XMPro, Australia
Gero Strobel, Assistant Professor, University of Duisburg-Essen, Germany
Track Description
The industrial sector has always been and still is a driving force of growth in many countries worldwide. Industry today is less and less producing and selling material industrial products, but increasingly has to augment them with software and services, often in combination with connectivity to related ecosystem services that use products as hardware platforms for new solutions. Such servitization moved traditional companies to invest in new technologies, such as digital twins or artificial intelligence. Recent advancements in generative AI, such as mutlti-agent generative Systems (MAGS), offer new ways to support industrial design, simulation, and process optimization through the autonomous generation of code, system models, or product variants as well as competing or collaborating agents – internally and throughout the supply chain. Systems engineering helps master the emerging interdependencies between material product and immaterial service components. In particular, SME are often challenged by this as they are often limited in providing necessary resources themselves and therefore need to foster new collaborations with actors in potentially before unknown industry contexts, especially to integrate AI capabilities. The developments affect processes, organizations, data management, as well as traditional information systems, such as supply chain management systems, requirements engineering solutions, or the digital factory.
Possible Topics include, but are not limited to:
- Automation vs. Autonomy- The future of decision making in challenging industry settings
- Digital Twin based Applications for Manufacturing Ecosystems
- Information Systems for industrial Product Development and Simulation
- The use of generative AI agents in product creation processes and production
- AI-supported Requirements Engineering and Model Based Systems Engineering
- Industrial Internet of Things Platform Development
- Technology adoption in industrial SME ecosystems
- Supply Chain Management Systems and cross-company solutions
- Studies about vendor confidence, societal expectations, and user satisfaction with innovative and established systems