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Agenda Day Two: Thursday 5th December 2019

Adapting Workforce Culture & Skillsets To Safely Manage The Next Generation Of Maintenance Disciplines & Applications Including Digitization, Software Controlled Trains, Automation & A.I. Technologies

08:50   Chair's Opening Remarks

KEYNOTE PRESENTATION: UPSKILLING THE FLEET MAINTENANCE WORKFORCE

09:00    Best Practice Strategies On Planning, Building & Upskilling The Fleet Maintenance Workforce To Exploit New Digitisation, Automation, Software Controlled & Machine Learning Applications

..... Including New Digital Technologies, Machine Learning Applications, Advanced Data Analytics Systems, Software Controlled Trains & Increased Automation 

  • Strategies for building a digitally competent workforce to deliver on the investment in new data-driven technologies for maintenance operations
  • Demonstrating the benefits of continuous training on your workforce and the impact to your maintenance operations
  • Understand how leveraging in-house knowledge and skills are important to developing staff competencies and using new technologies effectively

Neil Robertson, Chief Executive Officer, The National Skills Academy(NSAR)

09:30   Questions & Discussion

CASE STUDY AND EXTENDED Q&A ON SHARING BEST PRACTICES

09:40    Shift2Rail CBM Implementation - Ongoing Research Activities On Condition Based Monitoring

Jan Bergstrand, Senior Strategist And Programme Manager, Trafikverket

10:00    Extend Maintenance Intervals And Avoid Costly Downtime

Maurizio Giovannelli, Business Development Manager, SKF Insight Rail

10:20     Questions & Discussion

10:30    Dynamic Networking Opportunities & Refreshments In The Exhibition Area

Achieving Your Asset Management Life Cycle More Efficiently

MAKING THE BUSINESS CASE FOR UPGRADING ASSET MANAGEMENT SYSTEMS

11:00    Upgrading Asset Management Systems, Reporting & Analytics To Improve Data Monitoring Efficiencies

  • Introduction to SAR's Rolling Stock Digitalization journey
  • Business case of integrating smart systems
  • Predictive maintenance
  • Whole life cycle cost
  • Lessons learned

Mohammed Alshamlan, Rolling Stock Digitlization Strategy Manager, Saudi Railway Company

Yaser Halawani,Rolling Stocks Maintenance Manager-Freight, Saudi Railway Company

UTILISATION OF ADVANCED TECHNOLOGIES FOR IMPROVED ASSET MANAGEMENT

11:20    Making Greater Use Of New Software And Techniques For Improving Asset Management Decision Making Support Tools To Drive Business Improvements

  • Getting the basics right - learn how to put in place the right processes and decision support tools to maximise your asset management strategy
  • Understand how continuous improvement can be achieved to support business process developments to improve work flow efficiencies 
  • Assess how digital technologies and software can help drive better business decision making processes
  • Learn how artificial intelligence and advance analytics can provide better forecasting models to enhance asset management operations

Pedro Mota Pereira, Senior Operations Manager, Metro do Porto

Evert Bevernage, Civil Engineer, NMBC-SNCB

Pieter Moelans, Rolling Stock Engineer, NMBC-SNCB

12:00   Extended Questions & Discussion

MAINTENANCE 4.0 ON HIGH SPEED TRAINS

12:10    Real-Time Monitoring And Predictive Maintenance Using Machine Learning

José Antonio Marcos Alberca Carriazo, Head Manager Of Smart Maintenance Engineering, Talgo

12:30    Turning Data into Insight - Creating a Condition Based Maintenance Regime Supported by a Dynamic Supply Chain

Sam Bussey, Business Development Manager, Instrumentel (Unipart Rail)

12:50   Questions & Discussion

13:00    The Value Of Smart Data In Your Maintenance Operations

Richard Lenthall, Head Of Sales & Marketing, Voestalpine SIGNALING Siershahn GmbH

13:10   Dynamic Networking Lunch In The Exhibition Area Sponsored By Voestalpine SIGNALING Siershahn GmbH

CASE STUDY PRESENTATION

14:10    IoT Applied To Rolling Stock

Pedro Conceição, CBM Technical Sales Consultant, Nomad Digital

  • Why is our business craving IoT, Big Data, Digitalisation, ML and IA
  • The information users and data to the service of the core business
  • Data and information flows
  • Implementing IoT and data acquisition on different train generations
  • Examples of IoT implementation projects - evolution and expandability of a sturdy and future designed IoT platform
  • Basic advise on how to kick-off a digitalisation and IoT project

14:30   Questions & Discussion

Solutions For Managing Obsolescence & The Supply Chain To More Efficiently Service Components And Deliver Spare Parts On Time

OPERATOR CASE STUDY

14:40    Assess The Future Potential Of Additive Manufacturing To Deliver Solutions To Component Part Obsolescence

  • Deep dive into the real world application of 3D printing for spare parts and obsolete components and learn the strategies to drive a successful maintenance supply chain
  • Compare and examine the cost savings and time benefits of additive manufacturing for obsolete parts vs sourcing from the traditional manufacturing base
  • Identify and exploring future applications for additive manufacturing within your spare parts inventory operation

Richard Flint, Fleet Technical Manager, Chiltern Railways

15:00    Questions & Discussion

15:10    Dynamic Networking & Refreshments In The Exhibition Area

15:40    Examining The Use Of Non-Destructive Testing Techniques For Determining The Life Time Of Critical Components & Systems In The Rail Industry

  • Learn how NDT can be used to determine the lifetime of critical rolling stock components and how this can improve decision making in your maintenance operations
  • Examine using NDT techniques for wheel sets and brake pad management to reduce incident of maintenance
  • Identify further areas of application for NDT within your maintenance operations and addressing the barriers to adoption with the rail industry

Adam Bevan, Head Of Enterprise, Institute Of Railway Research

Exploring The Benefits Of Greater Collaboration Between Rolling Stock Maintainers & Infrastructure Managers

16:00    Customization and Integration of Wayside SMART YARD and On Board Condition Monitoring Technologies - Current Status, Vision Plan and Role of Industry

Deepak Tripathi, Chief Mechanical Engineer & Head Of Railway Maintenance, Konkan Corp

16:20 Questions & Discussion

END OF CONFERENCE FINAL PANEL - ROLLING STOCK AND INFRASTRUCTURE MAINTENANCE COLLABORATION

16:30    Finding Solutions For Incentivising Greater Collaboration Between Rolling Stock Maintainers & Infrastructure Managers To Improve Scheduling, Share Data & Improve The Management Of Maintenance Trade-Offs

Geoff Brison, Operations Manager New Trains Programme, Greater Anglia

Pedro Mota Pereira, Senior Operations Manager, Metro do Porto

Jan Bergstrand, Senior Strategist And Programme Manager, Trafikverket

17:00   Questions & Discussion

17:20   Closing Remarks From The Chair

17:30    End Of Day Two and Close of Conference

RSM17 Group Discount

AGENDA AT A GLANCE

Day One

  • Operators case studies on realising the benefits of on-board data to deliver improved maintenance and operational outcomes
  • Examine the business case for implementing artificial intelligence predict faults & improve on-board system reliability
  • Evaluate the future roadmap on retrofitting legacy rolling stock for advanced strategies on retrofitting ageing rolling stock
  • Cost effective integration of IT Systems and databases including identifying and selecting the optimal back end IT & Database

Day Two

  • Strategies on up-skilling fleet maintenance workforce to deliver on investment in new data-driven technologies
  • Managing human factor in the depot and minimise incidents of maintenance and prevent costly errors
  • Examine solutions for addressing obsolescence to efficiently service component and deliver spare parts on time
  • Best practice on planning & optimising the depot and maintenance activities, including integration of new technologies and maintenance practice innovations

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