BIM-Based Maintenance Management System for Healthcare Facilities
Publication: Journal of Performance of Constructed Facilities
Volume 35, Issue 4
Abstract
The reliable maintenance management system of medical equipment influences the patients’ treatment and the hospitals’ performance. Although building information modeling (BIM) technology has evolved the construction industry, it does not fully comply with the facility management (FM) industry, particularly with repair and maintenance. BIM-based FM provides a structured platform to effectively capture necessary data during the construction stage for effective facility maintenance management (e.g., prioritizing maintenance work orders). Despite the design improvements and preventive maintenance plans, unplanned failures are inevitable and need quick and appropriate reactions. This paper introduces an integrated BIM-based framework for effective facility maintenance management. This framework consists of an integrated maintenance database for medical equipment, a scheduling engine to prioritize and sequence work orders, and a 4D simulation module to visualize the work-order handling process semiautomatically. Case-based reasoning (CBR) is also employed in the simulation engine to capture expert knowledge and facilitate the sequencing process. The proposed framework’s capabilities are demonstrated by applying and validating in a national healthcare facility in Iran.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. Some healthcare facility data are confidential due to the hospital policy.
Acknowledgments
The authors would like to express their sincere gratitude to THC and Tecnosa R&D center at the University of Tehran for their kind support for this study.
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Journal of Performance of Constructed Facilities
Volume 35 • Issue 4 • August 2021
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© 2021 American Society of Civil Engineers.
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Received: Nov 26, 2020
Accepted: Mar 8, 2021
Published online: Jun 8, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 8, 2021
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