Effects of BIM and COBie Database Facility Management on Work Order Processing Times: Case Study
Publication: Journal of Performance of Constructed Facilities
Volume 33, Issue 6
Abstract
This study investigates the effects of using building information modeling (BIM) and construction operations building information exchange (COBie) data for facility management (FM) over multiple campuses of the Health Science Center (HSC) buildings of a large university. While research conducted in the past to determine the impact of using BIM for FM was based on interviews and surveys, this study utilizes actual data exported from the computerized maintenance management system (CMMS) used by the HSC. Work orders in BIM user and non-BIM user campuses were processed and compared with a two-sample -test. The results of the statistical analysis contradict the findings of earlier studies that work order processing time may be reduced by using BIM for FM. In fact, a lack of standard rules for recording work order data across all campuses within an organization is a hindrance to validating the effects of using BIM and COBie data for FM. Research has yet to show a clear value for using BIM and COBie data for work order processing times, and this paper may help FM professionals and researchers understand the aspects involved.
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Acknowledgments
The authors would like to express their sincere appreciation and gratitude to Mr. Mark Cervenka, facility manager of the HSC, for sharing data with and making data available for the authors to use in this research, and for providing support throughout the course of this study. In addition, the researchers are grateful to Mr. Hyde Griffith, Mr. Matt Moore, and Mr. Zachary Adams from Broaddus & Associates’ College Station office for their help and support in this study.
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Published In
Journal of Performance of Constructed Facilities
Volume 33 • Issue 6 • December 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: May 30, 2018
Accepted: Mar 12, 2019
Published online: Sep 14, 2019
Published in print: Dec 1, 2019
Discussion open until: Feb 14, 2020
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