A methodology to integrate maintenance management systems and BIM to improve building management

• Published in: HVAC&R research Vol. 28; no. 8; pp. 1097 - 1114
• Main Authors: Nojedehi, Pedram, O'Brien, William, Gunay, H. Burak
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 22-08-2022; Taylor & Francis Ltd
• Subjects: Data exchange; Data mining; Data processing; Decision making; Facilities management; Fault detection; Maintenance management; Management systems; Methodology; Operators; Programming languages; Teams; Workflow
• ISSN: 2374-4731; 2374-474X
• DOI: 10.1080/23744731.2022.2052668

Facility management (FM) teams routinely deal with numerous tasks, tools, and data sources to ensure the buildings they manage function properly. This diversity and the organizational complexity of these teams increase operational expenses related to interoperability. To address this, a methodology integrating BIM with maintenance management system logs is investigated herein. It includes two novel ways of automatically exchanging and visualizing such data using BIM as a common data environment. They provide building operators with greater context to expedite the decision-making process. A sequence diagram based on a typical facility management organization illustrates that these tools improve data exchange efficiency by which the operators understand the data and target operational improvements better. This methodology reduces the dependency on external programming languages for data processing. A text mining workflow is leveraged to process the work order (WO) descriptions. The methodology is demonstrated using a case study, which indicates that only 47 out of 81 rooms have one or more WOs and over 60% of all WOs are related to five rooms on the top floor. By focusing on these spaces, the underlying reasons and patterns of the faults were identified, which enhances the productivity of FM teams, occupants, and energy efficiency.