Project Fact Sheet (320Kb, Nov 2018)
Lifecycle thinking has significant potential for improving the delivery, maintenance and operation of facilities. Industry disaggregation, poor marketing of the value and disparate market drivers have limited the potential for greater uptake along the supply chain. This project will develop a framework that digitally links key decisions in facility design, construction, operation and maintenance to novel decision support platforms. The framework will consider requirements of private and public sectors, providing an agenda that demonstrates the value of lifecycle thinking and evidence-based decision making in facility asset management. The framework will also be translated into an education component to broaden the perspective on the role of lifecycle asset management.
The aim of this SBEnrc project is to use smart digital frameworks to appropriately capture the information required for key decisions made across the lifecycle of facilities in the housing, buildings, transport, utilities and airport sectors, through developing an automated integrated system for asset management.
The specific objectives are to:
- Address the industry challenge of integrating different digital platforms throughout the facility lifecycle for making decisions that suit the overall duration of the lifecycle.
- Identify the role of artificial intelligence in models through the various lifecycle phases of planning, design, construction and asset management to better understand and visualise the impacts of decisions.
- Facilitate education for industry and the broader community on the needs and methods of lifecycle thinking, not only for the purpose of a project’s planning and delivery, but also for the operation and maintenance phases of facilities, unlocking their long-term value.
The project will:
- Improve understanding of the requirements and challenges faced by industry in relation to key decisions made in managing assets through long-term lifecycle thinking.
- Develop smart integrated digital models for capturing key decisions during the planning, design, construction, operation and maintenance of facilities and enable visualisation of the implications of decisions made.
- Help clients/agencies/operators build capacity related to the adoption of structured digital data, to enhance data integration and make better informed decisions.
- Increase awareness of lifecycle thinking, not only during the construction of a project, but also for the operation and maintenance of facilities, through better education and training and by involving asset managers and operators in the lifecycle strategies developed.
- Improve the industry’s ability to make strategic and sustainable investments throughout the lifecycle of the assets considered, thereby enhancing their value.
This research was partially supported by the Australian Government through the Australian Research Council’s Discovery Project (Project No. DP180104026)
Documents for Downloading
The following documents provide additional detail regarding this current research, including project outcomes to date:
Unlocking Facility Value through Lifecycle Thinking (320Kb, Nov 2018)
Final Industry Report (April 2020, 5Mb)
Unlocking Facility Value through Life Cycle Thinking, BrisBIM, Brisbane Australia, 12 February 2020 (5MB)
Article: Unlocking Facility Value through BIM and Advanced Data Analytics, Built Environment Economist Australia and New Zealand (June 2020, 1Mb)
Press release: Industry research highlights a new integrated approach of improving lifecycle value of assets in housing, building and infrastructure (1 Oct 2019, 550Kb)
Suprun, E.; Sankhe, A.; Stewart, R.A.; Mostafa S. (2020) BIM adoption case study report. Review of benefits, challenges, strategies and lessons learnt for the water industry, Griffith University, Gold Coast, Queensland, March 2020.
Suprun E., Stewart R.A., Mostafa S., Sahin O., Bertone E. (2020) Integrating Lifecycle Thinking in Asset Management Through BIM: Opportunities for the Water Sector. The 10th International Conference on Engineering, Project, and Production Management, Berlin, Germany, September 2-4, 2019