TY - JOUR
T1 - BIM-integrated portfolio-based strategic asset data quality management
AU - Fang, Zigeng
AU - Liu, Yan
AU - Lu, Qiuchen
AU - Pitt, Michael
AU - Hanna, Sean
AU - Tian, Zhichao
PY - 2022
Y1 - 2022
N2 - A building's strategic asset management (SAM) capability has traditionally been limited by its site-based management. With the emergence of needs from clients about delivering a long-term portfolio-based building asset management plan that minimizes the asset risk and optimizes the value of their asset portfolios, SAM Units have emerged as a new business form to provide various SAM services to their clients. However, the quality of their current data model is still hindered by many issues, such as missing important attributes and the lack of customized information flow guidance. In addition, there is a gap in integrating their existing data collection with various data sources and Building Information Modeling (BIM) to enhance their data quality. By evaluating a SAM Unit's portfolio case study, this paper identifies the factors limiting the quality of SAM Units' data model and develops a guide to integrating various data sources better. We develop a BIM-integrated portfolio-based SAM information flow framework and a detailed hierarchical portfolio-based non-geometric data structure. The proposed framework and data structure will help SAM professionals, building asset owners, and other facilities management professionals embrace the benefits of managing the portfolio-based SAM data.
AB - A building's strategic asset management (SAM) capability has traditionally been limited by its site-based management. With the emergence of needs from clients about delivering a long-term portfolio-based building asset management plan that minimizes the asset risk and optimizes the value of their asset portfolios, SAM Units have emerged as a new business form to provide various SAM services to their clients. However, the quality of their current data model is still hindered by many issues, such as missing important attributes and the lack of customized information flow guidance. In addition, there is a gap in integrating their existing data collection with various data sources and Building Information Modeling (BIM) to enhance their data quality. By evaluating a SAM Unit's portfolio case study, this paper identifies the factors limiting the quality of SAM Units' data model and develops a guide to integrating various data sources better. We develop a BIM-integrated portfolio-based SAM information flow framework and a detailed hierarchical portfolio-based non-geometric data structure. The proposed framework and data structure will help SAM professionals, building asset owners, and other facilities management professionals embrace the benefits of managing the portfolio-based SAM data.
KW - Building information modeling (BIM)
KW - Data quality management
KW - Portfolio management
KW - Strategic asset management (SAM)
UR - http://www.scopus.com/inward/record.url?scp=85120960059&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2021.104070
DO - 10.1016/j.autcon.2021.104070
M3 - Article
AN - SCOPUS:85120960059
SN - 0926-5805
VL - 134
JO - Automation in Construction
JF - Automation in Construction
M1 - 104070
ER -