Data-driven Asset Management

The need to utilise efficiency gains within asset management has never been greater, and effective information management processes are key to uncapping these opportunities.

Objectives

The objectives of this activity are to develop a structured methodology to develop through-life asset information requirements and to develop guidance on how to organise and manage data to support asset management.

 

Background

The critical importance of information management, processes and strategies is gaining momentum within the wider construction industry. This is being guided by new and emerging technologies, with the support of industry standards solely focused within Building Information Modelling (BIM) and Asset Management. The need to utilise efficiency gains within asset management has never been greater, as most of the developed world is struggling in financially challenging times. 

 

As BIM adoption, implementation and development becomes more prolific in industry, Asset owners are seeking to use the newly found information to achieve whole-life cycle performance efficiencies from their physical assets. However, one of the major challenges for organisations currently is to understand how to develop a clear asset information strategy, define their asset information models, and to ensure the right data is captured at the right time and shared with the right people in an effective manner.

 

 

People

Project Partners

  • Costain (Funder)
  • Crossrail
  • Highways England
  • English Heritage

Publications

  • Heaton, J., Parlikad, A.K., "Top-down Practical Methodology for Defining Asset Information Requirements", In Proc. World Congress on Engineering Asset Management, Stavanger, 2018.

 

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