Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Digital Transformation in Rail, Science Fiction or Reality?

359 views

Published on

In Rail many companies still rely heavily on paper and Excel files for their fleet management, USB sticks and laptops for data capturing and phone calls or emails to react to failures or plan maintenance. Managing an entire fleet on a centralised platform, easy collaboration with teams and partners for maintenance, and performing real-time monitoring and predictive analytics therefore might seem a bit like science fiction to some operators. However, this couldn’t be farther from the truth! There are plenty of solutions already on the market that can help you to tackle railway challenges in a safe and efficient way. Let’s find out how you can implement digital transformation inside your organisation!

Published in: Data & Analytics
  • Be the first to comment

Digital Transformation in Rail, Science Fiction or Reality?

  1. 1. WWW.RAILNOVA.EU Digital Transformation in Rail, Science Fiction or Reality?
  2. 2. The Rail Reality
  3. 3. The Rail Reality Current processes for data capturing, fleet and maintenance management can be slow and labour intensive: • Information is gathered and shared too late: no real-time support for teams on the ground • Data access is very complex: data and information are scattered across multiple systems. • Collected data is not actionable: no actions taken from diagnostics and no efficient way to collaborate with teams and partners
  4. 4. Also the reality IT companies and suppliers are ready to tackle the issues railway organisations are struggling with. There are plenty of innovative hardware and software solutions on the market to enable safe and automated data capturing, to digitalise fleet management processes and to optimise diagnostics.
  5. 5. “Digital transformation is not science fiction, it’s here! Time to get on board! IMAGE: LUCASFILM
  6. 6. I. Challenges
  7. 7. Predictive diagnostics • No real-time support for drivers • Data scattered over multiple platforms • Manual data labeling • Difficult to make sense of data and turn it into actions Access data • Slow and labour intensive process • Data is often captured after an incident has happened • Multiple data sources from different asset types and components • Safety concerns Fleet & maintenance management • No collaboration with teams and partners • No real-time overview of fleet availability • Endless email threads to plan maintenance • Keeping fleet status on paper or in Excel
  8. 8. II. Opportunities
  9. 9. Predictive diagnostics • Data gathered on one central platform • Real-time machine learning alerts • Edge computing to capture new parameters and send out new predictive alerts Access data • Automatic real-time train monitoring • A single device to capture data from multiple data sources, asset types and components • Non-intrusive reading of data Fleet & maintenance management • Share asset and maintenance information with teams and partners • Operational data is always up to date • User-friendly fleet and maintenance management platform
  10. 10. Sounds good right?
  11. 11. But why are a lot of companies not yet taking advantage of these opportunities?
  12. 12. Is digital transformation in Rail an impossible task? Or, a privilege reserved for the lucky few?
  13. 13. “No.
  14. 14. Most companies just don’t know how to get started.
  15. 15. and/or • They are not ready for digital transformation. • They fear the changes that come with digital transformation. • They feel it’s not their problem. • They fear the cost of digital transformation.
  16. 16. “Fear is the path to the dark side.
  17. 17. “Digital transformation doesn’t mean you have to change everything at once. It’s a continuous journey to a better future.
  18. 18. A future, in which • accessing train data remotely • performing real-time diagnostics • analysing data for predictive maintenance • communicating transparently with other parties is not science fiction anymore.
  19. 19. Exemple: Predictive maintenance III. Example of digital transformation: predictive maintenance IMAGE: LUCASFILM
  20. 20. What’s the impact of poor asset monitoring and late problem detection? Systematic workshop entries • High maintenance costs • Lower fleet availability • Don’t capitalise return on experience • Rely on experts/third parties Unplanned failures • Train delays and service disruptions • No real-time support for teams on the ground • Analysis only after incident has happened
  21. 21. What can predictive maintenance mean for your business? • Empower your teams to avoid failures and to react faster to others with actionable and quality alerts • Use sensor data & machine learning techniques to perform deeper data analysis and learn about early warning systems • Enable internal collaboration and cooperation with partners to build and capitalise on knowledge and experience • Decrease maintenance costs and increase fleet availability without impacting safety
  22. 22. When is it time to take the first step? • Your technical team is working hard but availability of your fleet is low • Your existing IT-tools cannot cope with the complexity of your daily business • You gained first experience using an OEM monitoring tool and would like to have a solution for your entire fleet. • Your management is supportive of organisational changes and innovative solutions
  23. 23. Even the greatest journey begins with a single step. Lao Tzu
  24. 24. IV. How to implement digital transformation inside your organisation
  25. 25. Stay on target Dream big, but start small: be clear on your initial use case IMAGE: LUCASFILM
  26. 26. This is the solution you’re looking for Pick the solution that fits your business and needs the best IMAGE: LUCASFILM
  27. 27. May the safety be with you The solution you choose should enable you to decrease costs and increase availability without impacting safety IMAGE: LUCASFILM
  28. 28. It’s not a trap! Do a proof of concept to see if the product works in your circumstances IMAGE: LUCASFILM
  29. 29. Be ready for organisational change you must. Be prepared to review your existing processes and to optimise them if necessary
  30. 30. V. The digital transformation is strong in these ones
  31. 31. Railnova’s clients
  32. 32. Contact us, we’d love to help your organisation in their digital transformation efforts Xavier Jaffré Business Development info (at) railnova.eu Babette Müller- Reichenwallner Country Director DACH info (at) railnova.eu Christian Sprauer Founder and CEO info (at) railnova.eu Kaat Van de Vijver Marketing Manager info (at) railnova.eu
  33. 33. RAILNOVA.EU BLOG.RAILNOVA.EU The future of predictive maintenance and fleet management is here... . …time to get on board!

×