TY - GEN
T1 - Evaluating Facility Asset Information Needs in a Common Data Environment to Support Maintenance Workers
AU - Ghorbani, Zahra
AU - Napolitano, Rebecca
AU - Dubler, Craig
AU - Messner, John
N1 - Publisher Copyright:
© 2022 ASCE.
PY - 2022
Y1 - 2022
N2 - Asset information management plays a critical role in the successful operation of facilities. However, current documentation and distribution of facility asset information are fragmented. As an example, usually, maintenance staff do not have access to visual asset information. Even in cases where sufficient data are captured, it is often not readily accessible in a useful form for maintenance workers. Therefore, it is crucial to assess the alignment of information collected and received by maintenance crews against their needs to identify gaps and develop a useful information management system. The main goal of this research is to develop a process for structuring, documenting, and distributing data starting from the construction stage and extending into later use in facility management (FM) and maintenance to support maintenance workers' needs. This research aims to review the current process of data collection, storage, and distribution, as well as identify any gaps based on the needs of maintenance crews. First, a literature review was completed on FM data requirements. Afterward, a content analysis of common information management systems was conducted at a large institutional owner (The Pennsylvania State University). The information needs of maintenance staff were gathered through semi-structured interviews, assessing the alignment of the current asset management system with their needs. Finally, suggestions were made to enhance the current data collection and distribution system based on the existing gaps. Results and a structured approach can benefit both facility owners and maintenance crews by enhancing the information requirements and management process.
AB - Asset information management plays a critical role in the successful operation of facilities. However, current documentation and distribution of facility asset information are fragmented. As an example, usually, maintenance staff do not have access to visual asset information. Even in cases where sufficient data are captured, it is often not readily accessible in a useful form for maintenance workers. Therefore, it is crucial to assess the alignment of information collected and received by maintenance crews against their needs to identify gaps and develop a useful information management system. The main goal of this research is to develop a process for structuring, documenting, and distributing data starting from the construction stage and extending into later use in facility management (FM) and maintenance to support maintenance workers' needs. This research aims to review the current process of data collection, storage, and distribution, as well as identify any gaps based on the needs of maintenance crews. First, a literature review was completed on FM data requirements. Afterward, a content analysis of common information management systems was conducted at a large institutional owner (The Pennsylvania State University). The information needs of maintenance staff were gathered through semi-structured interviews, assessing the alignment of the current asset management system with their needs. Finally, suggestions were made to enhance the current data collection and distribution system based on the existing gaps. Results and a structured approach can benefit both facility owners and maintenance crews by enhancing the information requirements and management process.
UR - http://www.scopus.com/inward/record.url?scp=85128908149&partnerID=8YFLogxK
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U2 - 10.1061/9780784483961.124
DO - 10.1061/9780784483961.124
M3 - Conference contribution
AN - SCOPUS:85128908149
T3 - Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
SP - 1184
EP - 1190
BT - Construction Research Congress 2022
A2 - Jazizadeh, Farrokh
A2 - Shealy, Tripp
A2 - Garvin, Michael J.
PB - American Society of Civil Engineers (ASCE)
T2 - Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022
Y2 - 9 March 2022 through 12 March 2022
ER -