The process of designing Cyber Physical Production Systems (CPPS), e.g., modern power plants or steel mills, typically takes place in a multi-disciplinary engineering environment, in which experts from various engineering domains and organizations work together towards creating complex engineering artifacts. The process of designing such complex engineering artifacts requires iterations and redesign phases, which lead to continuous changes of the data and knowledge. To manage changes in such environment, we have previously proposed a generic reference process for conducting Knowledge Change Management and Analysis (KCMA). This paper implements this process for the case study of a modern Hydro Power Plant by adapting the proposed generic reference process into a scientific prototype developed using Semantic Web Technologies. Finally, we conduct an evaluation to evaluate the feasibility of the proposed reference process and the developed prototype. Thus, the contribution of this paper is twofold: (1) A tool-supported prototype for KCMA of a hydro power plant, and (2) A feasibility evaluation of this prototype that reports feedback and lessons learned for achieving KCMA in real-world case studies.
Fajar J. Ekaputra M.T. is a PhD student at TU Vienna. His current research topic focuses on Knowledge Change Management in Multi-Disciplinary Engineering Environments using Semantic Web Technologies. During his work as a project assistant in the Christian Doppler Laboratory for Flexible Automation Systems (CDL-Flex) he took part in implementing both practical and research use cases for industry partners. Concretely, he was involved in building analytics tools for AutomationML models and building a common concept ontology for Hydro Power Plant production systems. He published more than 15 papers in refereed venues out of which 2 won Best Paper awards.
