Leon, M; Ahiaga-Dagbui, D; Fleming, C and Laing, R (2017) Exploring visual asset management collaboration: Learning from the oil and gas sector. In: Chan, P W and Neilson, C J (eds.) Proceedings of 33rd Annual ARCOM Conference, 4-6 September 2017, Fitzwilliam College, Cambridge, UK.
Abstract
Visual Asset Management (VAM) is defined as a collaborative and cloud-based database application for projects' sharing, viewing and publishing. VAM provides a platform that contains multiple visual data sources of an infrastructure project, including Building Information Models, documentations and 360° photographic images that can be used for providing the user with a desktop visual walk-through and familiarization of remote assets. Its implementation for project planning and asset management can enable added value and strategic collaborative decisions. Therefore, this research presents a novel framework for VAM that built asset stakeholders can apply to maximize project value, support decision making during infrastructure project development as well as for the operation of built facilities. Due to the increasingly complex nature of projects in terms of size, information technology and security, realizing the benefits of VAM would require a learning process for all stakeholders involved in procuring and managing assets. This paper presents useful direction towards achieving stepped learning for asset value maximization and operation efficiency using VAM framework.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | collaboration; building information modelling; visual asset management; information technology; infrastructure projects; visualisation |
| Index terms: | efficiency, added value, building information modelling, platform, asset management, database, maximization, documentation, decision-making, collaboration, implementation, visualization, oil and gas, built asset, infrastructure project, information technology, project planning |
| Subjects: | management, design practice, algorithms, performance management, professional development, digital design, data management, decision analysis, asset management, industry analysis, infrastructure and transport systems, information systems, control systems, computing systems, contractual arrangements, economic analysis |
| Topics: | Research Practice, Project Management, Information Management, Engineering Principles, Business Strategy, Procurement, Risk Management, Quality Management, Design Practice, Digital Applications, Organizational Design |
| Descriptive scope: | 2 PC |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here