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Network Rail outsources automated rostering system roll-out to Capgemini

Capgemini is to implement a new rostering system for Network Rail that will automate the management and rostering of signalling and maintenance staff to improve train punctuality and infrastructure reliability

Network Rail has asked Capgemini to implement a new rostering system that will automate the management and rostering of signalling and maintenance staff to improve train punctuality and infrastructure reliability.

The organisation, which owns and operates Britain’s 20,000 miles of rail, wants to improve access to rail lines and reduce disruption by deploying its staff better.

A workforce management and rostering system from ClickSoftware will be implemented.

“This will allow us to deploy the right team to the right place at the right time,” said Neal Lawson, director of maintenance and operations services at Network Rail. 

“It will therefore enable us to make optimum use of our workforce and their skills, and to maximise the availability of track to the train operators, thereby helping rail passengers by minimising delays and disruptions to services.”

Capgemini will initially roll out the system to 8,000 signalling staff, followed by 15,000 maintenance workers. It replaces legacy IT, paper-based and local spreadsheet-based processes.

The system will be integrated into Network Rail’s existing IT – which includes HR, payroll and finance systems as well as Oracle E-Business Suite – by Capgemini. 

Network Rail is going through a process of modernising its IT. Earlier this year it awarded contracts for the first phase of its new nationwide traffic management system.

As part of the operator’s plans to create a more affordable, higher performance railway, the traffic management technology consolidates control over the UK’s rail network. The plans include replacing 800 signal boxes nationwide with 12 rail operating centres over the next 15 to 30 years.

The automated system allows large areas of the network to be controlled from fewer locations, and will reduce costs by £250m a year, while improving industry efficiency, and reducing delays.

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