Applying Systems Theory for Predictive Maintenance in Facility Management: A Performance Evaluation Framework Using Neo4j
Sep 1, 2025·
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Chien-Pu (Nora) Huang
Shang-Hsien Hsieh
Abstract
This paper applies systems theory to predictive maintenance in facility management, presenting a performance evaluation framework using Neo4j graph database technology. The framework enables systematic analysis of facility maintenance patterns and supports data-driven decision-making for smart building operations.
Type
Publication
The Civil Engineering Conference in the Asian Region (CECAR10), Jeju, Korea
Authors
Postdoctoral Researcher
Chien-Pu (Nora) Huang is a Postdoctoral Researcher at the Computer-Aided
Engineering Lab, National Taiwan University. Her research centers on semantic
digital twin frameworks for smart built environments, integrating ontology-driven
automation, knowledge graphs, and BIM for intelligent facility operations.