A Building Information Modelling approach to the alignment of organisational objectives to Asset Information Requirements

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Heaton, J 
Schooling, J 

It is critical that an asset-centric organisation understand the importance of their engineered assets to operate successfully. Despite this, organisations struggle to view assets within the context of whole- life management and ultimately struggle to harness the full potential value. A recurring theme is the challenges in capturing, storing and validating data across a diverse and complex asset portfolio. The primary reason for this is the fundamental lack of understanding of what information should be collected to support the efficient management of assets throughout their life. Asset-related information that is not collected in alignment to the organisational requirements will restrict the performance of capital investment decisions, risk management and operational performance throughout the whole life of the asset portfolio and ultimately have an impact on productivity. This paper presents a top-down methodology that utilises Building Information Modelling to support the development of asset Information Requirements, the novel aspect of this approach is the development of Functional Information Requirements to bridge the gap between organisational requirements and asset information requirements.

Building Information Modelling, BIM, Engineering Asset Management, EAM, Information requirements, Organisational Information Requirements, Asset Information Requirements, Requirements Engineering
Journal Title
Automation in Construction
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Elsevier BV
Engineering and Physical Sciences Research Council (EP/N021614/1)
Technology Strategy Board (920035)
Engineering and Physical Sciences Research Council (EP/I019308/1)
Engineering and Physical Sciences Research Council (EP/L010917/1)
Engineering and Physical Sciences Research Council (EP/K000314/1)
Engineering and Physical Sciences Research Council (1759319)
This research was supported by the Engineering and Physical Sciences Research Council and Costain Plc through an Industrial CASE Award. The authors also thank the support of the EPSRC Innovation and Knowledge Centre for Smart Infrastructure and Construction as well as the Centre for Digital Built Britain.