How to utilise data for smart rail infrastructure management and maintenance

Supported by:

2 April 2019

Supported by:

2 April 2019

ABOUT THIS WEBINAR

Best practices to lower downtime, increase capacity and lower costs. How to harvest your railway data and drive fully optimised asset performance management.

The most basic mission of any rail operator – whether operating light rail, mainline rail or metro – is to keep operations efficient, work optimised and assets performing at their peak. This mission, however basic, is an endless challenge as linear assets age, the workforce transitions and demand for more capacity increases. Fortunately, there is more technology and data available today than ever before, providing the ability to proactively improve communications, automation and performance.

Digital transformation is inevitable and it will change the way businesses operate. Industry 4.0 will have a huge impact on transport businesses, with performance enhancements impacting no area more profoundly than operations. While the transition may seem futuristic, early adopters can benefit from improved operations, reduced costs and enhanced safety.

In this webinar, learn how to set out your path towards fully-optimised asset performance management (APM). We showcased best asset practices featuring real customer examples and explain how leading innovators in the transportation sector have developed a strong foundation in this area to create the building blocks to predict, prescribe and prioritise asset maintenance, management and investment decisions. Based on performance indicators, find out how to use asset-specific data modelling to predict, prevent and gain a comprehensive view of performance. Additionally, we explored what the perfect APM project might look like, the lessons learned over the last 18 months and the simple steps you can take to avoid things that might otherwise act as hurdles to you and your team. 

KEY LEARNING POINTS

• Best Practices for asset management for transport operators
• Getting started:  How to quickly set up a project to test the model in your organisation
• Understanding where Analytical Models come from and what they deliver
• An outline of what data requirements will deliver quick wins for your project
• Examples of important obstacles to overcome early on in an APM project

Finally, we provided an overview of the work we have been doing with a major rail operator, who are implementing an approach to digital rail. With Safety, performance and cost control as key drivers, the operator is keen to reduce risk to staff as well as the number of planned and unplanned interventions. Maintaining and creating capacity is critical as passenger numbers have doubled in the last 20 years and further double-digit growth is forecast. In addition, benchmarking with other national railway networks has identified potential for more efficient operations. We spoke about the ‘predict and prevent’ approach to maintenance as well as strategies to support targets by ensuring the infrastructure is available to meet the working timetable, avoiding the need for trackside work and minimising the number of maintenance jobs.

KEYNOTE SPEAKER

Steve Hagner, Asset Management Solutions Manager, ABB Enterprise Software

For the last 20 years Mr. Hagner has focused on helping large organizations in Europe and the Middle East understand how they can benefit from advances in Information Technology. He advises asset intensive organisations – Transportation, utilities, mining companies regarding optimizing asset lifecycle management, leveraging advances in the Internet of Things, Big Data, Smart Grids and Predictive Analytics.