Qualitative study explores predictive maintenance improvements in facility management through digital twin technology, indicating actionable insights for implementation.
Key Points
This study aims to explore how digital twin technology can enhance predictive maintenance in facility management.
Combined a systematic literature review with semistructured interviews with industry professionals.
Used thematic analysis to synthesize the findings.
Digital twin technology significantly improves decision-making and operational efficiency in maintenance processes.
Challenges include high implementation costs, data integration issues, and the need for standardization and skills development.
A proposed strategy for implementation includes needs assessment, incremental deployment, and establishment of standardization protocols.