Everything hinges on data nowadays. But how to extract useful information for smart track maintenance?
Our asset management approach is based on preventing failures and making maintenance predictable. Our approach has proved to maximise rail network availability, reliability, safety, sustainability and cost-efficiency.
We employ innovative, purpose-built hardware and software, developed and refined over many years maintaining some of Europe’s busiest freight and passenger networks, to collect, analyse and interpret data. We can tailor and integrate our software into our customers’ own systems and connect other data capturing systems and tools to ours. This data-driven approach captures outputs from processes and systems to understand network deterioration and how it reacts to maintenance activities over time. This information is used to develop predictive algorithms that forecast maintenance requirements, providing quality, meaningful information to collaboratively drive strategic decision-making.
"Maximise rail network availability, reliability, safety, sustainability and cost-efficiency"
Our specialised, highly-skilled engineers combine operational data with asset management knowledge to accurately model predictive outcomes and facilitate the development of strategies to improve the asset’s future performance.
Working with our clients, we can optimise maintenance planning and execution to drive alignment with the overarching asset strategy and long-term investment in asset renewal and upgrades.
Our smart maintenance principles support a predictable operating environment, improving reliability and network availability whilst reducing maintenance costs over time.
We can control the entire asset management set, from defining customer needs to operation and feedback. Or we can support part of the maintenance strategy by engineering what is needed.
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