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2.51 Developing a Cross Sector Digital Asset Information Model Framework for Asset Management
![](https://sbenrc.com.au/wp-content/uploads/2017/03/shutterstock_308052227-scaled.jpg)
Project Number
2.51Round
Round 5Date
April 2017 - September 2018Research Team
Chair, Project Steering Group
Professor Keith Hampson
BEng(Civil)(Hons) MBA PhD
FIEAust FAIM FAICD
k.hampson@sbenrc.com.au
Chair, Project Steering Group
Colin Jordan
BCom (Econs), BEng (Civil)
Professor Sherif Mohamed
BEng PhD PMP
s.mohamed@griffith.edu.au
Chief Investigator
Professor Xiangyu Wang
Project Leader
xiangyu.wang@curtin.edu.au
Industry Leader
Will Hackney
BSc (Hons) MSc ICIOB
Digital Built Leader, Infrastructure, Aurecon
Documents for Downloading
Presentations
Presentation to senior officers of WA Department of Transport – Curtin University, 17 May 2018 (1Mb, May 2018)
Developing a Cross-sector Digital Asset Information Model Framework for Asset Management (DAIM) (1Mb, 21 March 2018)
Lifelong Project Value through Digital Asset Information Management (DAIM) – Presented at SBEnrc Collaborating for Industry Solutions in the Built Environment symposium, Perth, Australia, 15 November 2017 (5Mb, Nov 2017)
Using BIM for ongoing Building Operations throughout a Building’s Lifecycle, CIB World Building Congress, Hong Kong, 17-21 June 2019 (3Mb, Jun 2019)
Academic Papers
Ammar Shemery, Keith Hampson, Peng Wu, Sherif Mohamed, Giles Thomson, Don Hitchcock (2019) Using BIM for ongoing Building Operations throughout a Building’s Lifecycle, CIB World Building Congress, Hong Kong, 17-21 June 2019 (330Kb, Jun 2019)
Last Updated: 2024-08-06 14:47:23
Asset management in the built environment has been the subject of changing practice and research for years and is often complicated by inconsistency in measuring and monitoring the condition and performance of assets across the industry. This project, with an overarching approach across housing, buildings and transport infrastructure, seeks to develop a Digital Asset Information Delivery Manual to support the operation and maintenance of key assets. It will determine enabling information management technologies and develop a framework for capturing, structuring and exchanging asset information digitally, while taking into account its classification and practical uses. This will aid the wider adoption and consistent curation of digital information for maintaining and operating assets across the construction supply chain, improving the efficiency of managing community assets, improving the return on investment and ensuring sustainability, resilience and safety.
Objectives
- For housing, buildings and transport infrastructure, determine primary asset information requirements for operations and maintenance, and identify the strength of commonalities across these sectors.
- Determine the effectiveness of existing asset information classification and structuring systems in supporting the practical requirements of asset managers, and facilitating interoperability between software applications used during the design/construction and operation/maintenance phases of the asset lifecycle.
- Explore the challenges for asset owners and managers when working with current asset management principles/standards, and develop solutions that enhance the value of asset information.
- Map the decision making processes related to (i) asset procurement and (ii) operations and maintenance to identify best practice in asset information modelling.
- Develop a proof-of-concept Digital Asset Information Delivery Manual and test this in a range of real life scenarios.
Industry Outcomes
This project will expand the use of digital information modelling, such as BIM and DE, beyond design and construction to encompass asset management practices. It will provide an asset information model framework and delivery manual with supporting cross-sector case studies. It will enable access to asset information and identify opportunities for adding value to assets by enhancing the quality and use of digital asset data. The outcomes will serve as a foundation for future development of a digital asset information model to aid management over asset lifecycles, identifying ways of decreasing the cost of operation and maintenance, and of improving the return on investment of asset management whilst concurrently improving sustainability, resilience and safety.