Rolling Stock 4.0 Webinar Series

Optimising Rolling Stock Asset Management With Advanced IoT And Predictive Maintenance

The industries pioneering webinar series is back, this September addressing critical issues and technologies that are shaping the future of digitalized maintenance.

  • Digitalisation and Smart Maintenance: The disruptive business model for digital railways
  • Condition Based Maintenance + Remote Condition Monitoring
  • Effectively deploying IoT data for Predictive Maintenance
  • How IoT technology will bring advancements in data collection and analysis
  • Optimising maintenance and operation planning through enhanced asset management
  • Harvesting big data to reduce operational cost & increase profitability
  • Digitalisation and Smart Maintenance: The disruptive business model for digital railways
  • Condition Based Maintenance + Remote Condition Monitoring
  • Effectively deploying IoT data for Predictive Maintenance
  • How IoT technology will bring advancements in data collection and analysis
  • Optimising maintenance and operation planning through enhanced asset management

Latest Sponsored Webinar The Critical Do’s and Don’ts In A High Quality Data Driven Transformation In Rail

Case Study: Rotterdam Metros & Trams Digitalization & IoT Journey

  • How to execute strategy into reality? A real life example.
  • What proven methodology was used?
  • Which initiatives were done first, and why?
  • What were the main gaps covered?
  • How does a real data governance process look like?
  • How to define and implement a tailor-made business case framework and action plan?
  • What were the main results obtained in less than 6 months
Alvaro Zevallos

Alvaro Zevallos

Co-Founder and Digitalization Leader, Digitalentu

Alvaro Zevallos is co-Founder of Digitalentu with more than 14 years of experience advising railway companies worldwide on how to ensure and accelerate a high quality and successful digital transformation towards operations and maintenance optimisation. Recognised digital influencer in the railway scene with a solid track record developing businesses with exponential growth.

Company Profile

Ben Pilgram

Ben Pilgram

Asset Manager, R.E.T – Rotterdam Metro & Trams

Ben Pilgram works as Asset Manager Metro at the public transport company R.E.T. in Rotterdam. He has extensive experience in rolling stock (heavy rail and light rail), studied Business Administration at Maastricht University and holds both the Certificate and Diploma in Asset Management. Within RET he currently focusses on implementing data driven maintenance within the organisation.

Rolling Stock 4.0 Webinar Series 2020

Some Of Our Previous Rolling Stock & Track & Infrastructure Webinar Sessions

Rolling Stock Maintenance: Identifying The Key Steps For CBM Implementation

How On-board IoT Solutions Can Improve ROI & Safety Of Rolling Stock 

Depot Planning & Refurbishment To Incorporate New Technology – Real-Time Robotized Maintenance of Wheelsets

Convergence Of AI, 5G AND LiDAR For Digital Twins In Rail

Rail Digital Twins For Rolling Stock Maintenance Analytics: An Industrial AI approach

Reducing Maintenance Cost & Failures With Successful Predictive Maintenance

Monitoring Of Driveline Components & Inboard Bearings With RailBAM-IB

How Wayside Condition Monitoring Is Becoming More Intelligent

Diagnostic & Monitoring Technologies For Rail Infrastructure

Big Data Strategy For Track & Asset Maintenance

We Won The Finnish Commuter Rail Tender: How Did We Do It? Key Factors For Winning The Helsinki Regional Transport Tender: What Issues Need To Be Taken Into Account As A Fleet Maintainer

Digital Maintenance As A Game Changer – Is There a Future For Data-Driven Maintenance?

Digital Future Of Infrastructure Maintenance – Pros & Cons Of Different Solutions

Adopting Model-Based Systems Engineering For Rolling Stock Development

Passenger Experience Design

The TBOGI-TR System: Transit & Metro

CAF Digital Depot

Tyre Exchange Station Of Tyred Wheel Mounted On An Inboard Bearings Passenger Car Bogie

VORTEX IOT Explaining Rodio

Diagnostic & Monitoring Technologies For Infrastructure Image Video