Asset Lifecycle Information Orchestration in Process Systems Engineering

Zusammenfassung

This thesis explores the application of a holistic data integration approach with a focus on common planning objects in the process industry. The hypothesis posits that this approach can improve the quantity and quality of mapping relations between data models for data engineers along the asset lifecycle. To evaluate this hypothesis, a comprehensive set of evaluation paradigms was defined and applied to various data standards, with assessments conducted with different levels. The research provides valuable insights into the challenges and potential benefits of data integration in the process industry. Findings demonstrate that the adoption of a holistic approach, centered around common planning objects, indeed enhances mapping relations between data models. Benefits include improved data quality, increased data quantity, and enhanced efficiency in managing complex data structures Contents Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . III Dedication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . IV Acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . IX Abstract (English) . . . . . . . . . . . . . . . . . . . . ...