Evaluating Facility Asset Information Needs in a Common Data Environment to Support Maintenance Workers

Zahra Ghorbani, Rebecca Napolitano, Craig Dubler, John Messner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2022
Subtitle of host publicationComputer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
EditorsFarrokh Jazizadeh, Tripp Shealy, Michael J. Garvin
PublisherAmerican Society of Civil Engineers (ASCE)
Pages1184-1190
Number of pages7
ISBN (Electronic)9780784483961
DOIs
StatePublished - 2022
EventConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022 - Arlington, United States
Duration: Mar 9 2022Mar 12 2022

Publication series

NameConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022
Volume2-B

Conference

ConferenceConstruction Research Congress 2022: Computer Applications, Automation, and Data Analytics, CRC 2022
Country/TerritoryUnited States
CityArlington
Period3/9/223/12/22

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction

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