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Exploring visual asset management collaboration: learning from the oil and gas sector
conference contribution
posted on 2017-01-01, 00:00 authored by M Leon, Dominic Doe Ahiaga-DagbuiDominic Doe Ahiaga-Dagbui, C Flemming, R LaingVisual Asset Management (VAM) is defined as a visual, collaborative and cloud-based database application for project sharing, viewing, delivery, operation and maintenance. VAM provides a platform that contains multiple visual data sources of an infrastructure project, including Building Information Models, associated asset documentation and 360° photographic images of the asset. This research presents three cases of the use of VAM in major oil and gas platforms in the North Sea, identifying the challenges resolved using VAM, the benefits realised as well as the opportunities for learning and transfer of VAM to the construction industry. The findings demonstrate that VAM can be used effectively to support decision making process during infrastructure project planning and development. The case studies further demonstrated that VAM will be particularly beneficial in facilities management and built asset operation, thereby, ensuring the accuracy and reliability of information for operations and maintenance. Due to the increasingly complex nature of projects in terms of size, information technology and security, realizing these benefits would require a learning process for all stakeholders involved in procuring and managing assets. This research proposes a stepped change and learning opportunity for built assets value maximization and delivery, management and operation efficiency using VAM.
History
Event
Association of Researchers in Construction Management. Conference (33rd : 2017 : Cambridge, Eng.)Pagination
765 - 774Publisher
Association of Researchers in Construction ManagementLocation
Cambridge, Eng.Place of publication
Manchester, Eng.Start date
2017-09-04End date
2017-09-06ISBN-13
9780995546318Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2017, Association of Researchers in Construction ManagementEditor/Contributor(s)
Chan, P W, Neilson, C JTitle of proceedings
ARCOM 2017 : Proceedings of the 33rd Annual Conference 2017Usage metrics
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