Year: 2025
Type: conference-paper
Abstract: This research presents a systematic approach for assessing component interdependencies within building subsystems in relation to unplanned maintenance (UPM). Utilizing a three-step methodology—quantitative content analysis, component causal relationships, and interdependency analysis—the study leverages work order description data to identify key components and their interactions. By applying social network analysis to top keyword and term frequency data, the study examines component centrality, revealing critical interdependencies that impact maintenance needs. Findings show that specific components, such as the steel damper and supply fan, play prominent roles within the subsystem network, with significant ripple effects in case of failure. This methodology not only provides valuable insights for facility managers in prioritizing maintenance efforts but also offers a foundation for future predictive maintenance strategies.
Source: CIB Conferences
Institutions: Oklahoma State University, Purdue University West Lafayette
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411472353