TY - JOUR A1 - Guldner, Achim A1 - Hoffmann, Maximilian A1 - Lohr, Christian A1 - Machhamer, Rüdiger A1 - Malburg, Lukas A1 - Morgen, Marlies A1 - Rodermund, Stephanie C. A1 - Schäfer, Florian A1 - Schaupeter, Lars A1 - Schneider, Jens A1 - Theusch, Felix A1 - Bergmann, Ralph A1 - Dartmann, Guido A1 - Kuhn, Norbert A1 - Naumann, Stefan A1 - Timm, Ingo J. A1 - Vette-Steinkamp, Matthias A1 - Weyers, Benjamin T1 - A framework for AI-based self-adaptive cyber-physical process systems T2 - it - Information Technology N2 - Digital transformation is both an opportunity and a challenge. To take advantage of this opportunity for humans and the environment, the transformation process must be understood as a design process that affects almost all areas of life. In this paper, we investigate AI-Based Self-Adaptive Cyber-Physical Process Systems (AI-CPPS) as an extension of the traditional CPS view. As contribution, we present a framework that addresses challenges that arise from recent literature. The aim of the AI-CPPS framework is to enable an adaptive integration of IoT environments with higher-level process-oriented systems. In addition, the framework integrates humans as actors into the system, which is often neglected by recent related approaches. The framework consists of three layers, i.e., processes, semantic modeling, and systems and actors, and we describe for each layer challenges and solution outlines for application. We also address the requirement to enable the integration of new networked devices under the premise of a targeted process that is optimally designed for humans, while profitably integrating AI and IoT. It is expected that AI-CPPS can contribute significantly to increasing sustainability and quality of life and offer solutions to pressing problems such as environmental protection, mobility, or demographic change. Thus, it is all the more important that the systems themselves do not become a driver of resource consumption. KW - artificial intelligence KW - business process management KW - cyber-physical-systems KW - framework KW - Green AI KW - process-aware information system KW - Künstliche Intelligenz KW - Prozessmanagement KW - Cyber-physisches System KW - Green-IT Y1 - 2023 UR - https://hst.opus.hbz-nrw.de/frontdoor/index/index/docId/990 UR - https://nbn-resolving.org/urn:nbn:de:hbz:tr5-9907 VL - 65 IS - 3 SP - 113 EP - 128 ER -