Assessment of Interdependency for Building Components in Facility Management

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.

Authors

Publication Details

Journal
CIB Conferences
Published
2025-06-19
DOI
https://doi.org/10.7771/3067-4883.1786
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Interdependency for Building Components in Facility Management

Soojin Yoon, Theodore J. Weidner, Ashish Kumar Pampana
CIB Conferences
BIM and Construction Integration
article

Assessment of Interdependency for Building Components in Facility Management

Soojin Yoon, Theodore J. Weidner, Ashish Kumar Pampana
article en

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.

CIB ConferencesVol. 1(1)
Openalex Percentile: Top 85%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.