CASE STUDY
Network Rail
Network Rail

Working in close partnership with The Woodhouse Partnership (TWPL), CCQ first engaged with Network Rail to understand the complexity and variables of asset management across the network. 

Working with partners and stakeholders, including Scottish Water, The National Grid and London Underground, we further developed an understanding of the interrelation of third party assets and potential civil engineering scenarios. 

Challenge

Keeping Britain’s railways moving and on time requires the management and maintenance of a vast amount of infrastructure. Tracks, bridges, and signals through 20 of the UK’s largest stations are all required to work together, avoiding downtime or failure. 

Network Rail came to CCQ amid a significant programme of work to improve its asset management systems and capability. The challenge was to deliver Whole Life Cycle Costing (WLCC) analysis across their top 30 asset classes with the most impact on safety, train performance and expenditure. 

Assets management across UK railways presents unique complexities. Many Victorian bridges and other infrastructure from early in the railways’ inception remain in use. At the same time, numerous stakeholders interoperate to deliver end customer freight and passenger services. 

As critical infrastructure, the overall objective of this piece of work was to optimise the ongoing reliability of assets across the network. 

Solution

Working in close partnership with The Woodhouse Partnership (TWPL), CCQ first engaged with Network Rail to understand the complexity and variables of asset management across the network. 

Working with partners and stakeholders, including Scottish Water, The National Grid and London Underground, we further developed an understanding of the interrelation of third party assets and potential civil engineering scenarios. 

CCQ leveraged these scenarios to model and simulate optimal ways to inspect, maintain and improve railway infrastructure, including:

  • Maintenance and renewal interventions (time of intervention and cost)
  • Operational costs
  • Asset outputs
  • Age
  • Cumulative duty
  • Remaining life
  • Condition
  • Asset performance/service risk
  • Present Value of costs and risks
Technologies:
  • C#
  • Visual Basic for Applications (VBA)
  • Excel
  • MS Access
  • SQL
The Work:
  • Consultancy
  • Algorithm Research
  • Implementation
  • Testing
  • Execution
Results

CCQ delivered a nationwide WLCC solution designed to address multiple system-wide complexities. Bringing our engineering and sector experience to bear, we overcame the inherent challenges of a wide range of asset types, ages and often a lack of existing data.

Our modelling solution significantly increased Network Rail’s asset management efficiency and maturity. The result delivered to Network Rail ultimately resulted in safer railways.

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