The Asset Management Group, which is part of the Distributed Information and Automation Lab, studies innovative ways in which industrial assets and systems should be maintained and managed in order to deliver maximum performance while minimising costs and risks over their whole life. 


Our research activities can be broadly classified into the following three areas:

  1. Strategic Asset Management. This deals with strategic issues associated with the design, implementation and review of asset management systems. This includes examination of critical success factors in effective design of asset management systems, developing methodologies for developing a performance measurement system for asset management, and developing a value-based asset management approach.
  2. Maintenance of Complex Systems. This area examines the issue of maintenance and through-life management of complex engineering systems such as infrastructure, power equipment, transportation assets (e.g., trains). In particular, we are interested in understanding how assets affect system performance by modelling complex behaviors of such assets, e.g., interactive deterioration between components in an asset, fault propagation between assets in a system.
  3. Asset Information Management. This area deals with effective management and use of asset information. Examples of activities in this area include the development of a structured approach to design a sensor strategy, understanding the role of standards such as BIM in asset management, developing techniques to exploit emerging trends such as Internet of Things, Big Data and Predictive Analytics to improve asset value.

Group head: Dr Ajith Kumar Parlikad



T: +44 (0) 1223 765606