Kai Christian Weist
Papers
2
Total Citations
8
H-Index
2
About
Kai Christian Weist is a researcher focused on the intersection of Building Information Modeling (BIM) and industrial facility lifecycle management. His work centers on developing decision-support frameworks that integrate BIM with structural design and asset management for factory environments. Weist’s major contribution lies in demonstrating how BIM can bridge the gap between conventional construction planning and the dynamic adaptation needs of industrial facilities, particularly for fastening systems—critical components often overlooked in lifecycle planning. His most cited paper, “BIM approach for decision support: case study fastening systems in factory adaptation planning” (2019, 5 citations), provides a practical methodology for using BIM to optimize factory retrofits under changing product requirements. A follow-up study on the symbiosis of lifecycle structural design and asset management (2020, 3 citations) further extends this work, highlighting how BIM enables continuous performance monitoring and cost-effective maintenance of industrial equipment. Though his citation counts are modest, Weist’s research addresses a niche but vital challenge in industrial engineering: ensuring that fastening systems—essential for safety and flexibility—are integrated into digital building models from design through decommissioning. His work is particularly valuable for practitioners seeking to modernize aging factories through data-driven, lifecycle-oriented planning.
Research Focus
Key Achievements
Top Papers
- 1
- 2