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
Assistant Professor
Assistant Professor at National Taipei University of Technology (Taipei Tech, NTUT) specializing in semantic digital twin frameworks, graph-native knowledge architectures, and AI-driven automation for smart built environments. Licensed architect with industry experience spanning high-tech facility engineering and construction management.