A Framework for Developing Information Requirements for Built Asset Management Based on Organisational Sustainability Objectives
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Abstract
Purpose- In recent years, digital transformation using Building Information Modelling (BIM) systems has reshaped asset management. This process involves systematically maintaining and improving assets throughout an organization's lifecycle, with a focus on sustainability objectives. However, the current asset management process often wastes time and resources searching for asset information. This research aims to create a BIM-based framework, address the disconnection between asset management models and key indicators of sustainability, and help achieve the organisation's sustainability objectives.
Methodology- This paper explores the relationship between asset management and sustainability objectives, establishing an integrated framework from existing literature. A seven-step approach to developing information needs is also proposed.
Findings- It was found that asset information requirements are often formed without a direct link to the organisational objectives they are intended to achieve or are difficult to detect adequately. Recognising the cyclical nature of asset management and BIM and generating a framework.
Implications- The framework will help address the disconnection between design aspirations and key indicators of sustainability.
Originality value- The framework aligns asset management with sustainability objectives and integrates with BIM for a unified asset management platform.
Description
This open access book presents contributions on a wide range of scientific areas originating from the BUiD Doctoral Research Conference (BDRC 2023)
Citation
Dong, Y., Collinge, W., Kirkham, R., Rahbarimanesh, A. (2024). A Framework for Developing Information Requirements for Built Asset Management Based on Organisational Sustainability Objectives. In: Al Marri, K., Mir, F.A., David, S.A., Al-Emran, M. (eds) BUiD Doctoral Research Conference 2023. Lecture Notes in Civil Engineering, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-031-56121-4_30