DAY ONE

ROLLING STOCK PREDICTIVE MAINTENANCE & IOT MIDDLE EAST 09/10/2019

Optimising  Rolling  Stock  Asset  Management  With  Advanced  Predictive  Maintenance  Solutions,  Data  Set Analysis,  IoT  &  Industry  4.0.  How  To  Collect  And  Maximise  Value  From  Massive  Data  Sets  From  Every  Aspect  Of  Your  Operation  To  Reduce  Cost,  Minimise  Downtime,  Increase  Capacity  And  Improve  Services. 

 

7:30AM REGISTRATION & MORNING NETWORKING – REFRESHMENTS 

 

8:00AM CHAIRS OPENING REMARKS | EXPLOITING THE POTENTIALS OF DIGITALISATION TO ENHANCE YOUR FUTURE

(Reserved for Saudi Railways Organisation TBC)

8:25AM FROM REAL TIME ASSET MONITORING TOWARDS DYNAMIC MAINTENANCE AND OPERATIONS 

Christophe Sanguina, Strategy and Digital Services Solutions Director, Alstom Group – (France)

8:50AM LEVERAGING ‘BIG DATA & IoT’ TO INNOVATE ROLLING STOCK MAINTENANCE 

Khaldoun Aboul-Saoud, CEO, QuantaSmart IoT – (UAE)

 

9:15AM PANEL SESSION: HOW CAN THE LATEST INNOVATIONS DRIVE REDUCING MAINTENANCE COSTS                       

Christian Sprauer, Founder & CEO, RailNova – (Belgium)

Christophe Sanguina, Strategy and Digital Services Solutions Director, Alstom Group – (France)

Khaldoun Aboul-Saoud, CEO QuantaSmart IoT – (UAE)

Kapil Jambhulkar, Director at Indian Railways

Neil Morris, Vice President, O&M, Operations & Engineering, Hitachi Rail STS – (UAE)

(Reserved for Saudi Railways Organisation TBC)

(Reserved for RTA TBC)

(Reserved for Etihad Rail TBC)

 

9:40AM CASE STUDY: SUCCESSFULLY DEPLOYING PREDICTIVE MAINTENANCE IN RAIL & THE RETURN ON OUR EXPERIENCE OF IoT (TRAIN OPERATOR)

Neil Morris, Vice President, O&M, Operations & Engineering, Hitachi Rail STS – (UAE)

  • How to move forwards, and prepare for, predictive maintenance
  • Examples of real predictive maintenance use case studies in rail 
  • The key industry experiences lessons learnt
  • Using Your Data to increase productivity and decrease maintenance costs: Optimising maintenance and operations 
  • How to provide your teams with an unprecedented single-source access to information and analytics to inform their decisions.

 

10:05AM MORNING REFRESHMENTS IN THE NETWORKING EXHIBITION AREA

 

10:35AM DEPLOYING BIG DATA TO INCREASE PROFITABILITY

Shanavas Koya, CTO, Digital Transformation & Strategy, Shanco (Dubai)

  • How to interpret data
  • Managing your data to ensure financial gains
  • Effective Planning and controlling of maintenance tasks

11:00AM HOW TO PREPARE FOR PREDICTIVE MAINTENANCE

Dr. David McGorman, Managing Director at Instrumentel ltd, Part of Unipart Rail

  • Why a solid data and information architecture is important to support IoT and Big Data for your enterprise
  • Effectively deploying Predictive Maintenance
  • Big data systems architecture and functions

11:25AM SEPARATING MEANINGFUL DATA FROM THE MASS OF DATA COLLECTED BY SENSORS

Adrian Sutton, Managing Director at Vortex IoT

11:50AM THE KEY TO UNLEASHING THE VALUE OF INFORMATION ON RAIL ASSETS: DATA ANALYTICS

Arun Chandran , Managing Director, Synergiz Global Services Private Ltd

  • Inclusion of the O&M and technology at Tender Stage, what should be done

 

12:15PM LUNCHEON REFRESHMENTS IN THE NETWORKING EXHIBITION AREA

 

1:30PM ACTUAL ASSET CONDITION – INSTEAD OF MILAGE OR TIME

Dharmendra Kumar Pandey, Chief Maintenance Manager- L&T Hyderabad

  • Monitoring the health of rolling stock without the need for human
  • Making unnecessary regular manual checks redundant, saving resource, logistics and down time costs
  • How to understand when and what to maintain – to enable maintenance to be more cost effective and efficient

1:55PM BEARING LIFE CYCLE OPTIMISATION AND DIGITAL MAINTENANCE (TBC)

Maurizio Giovannelli, Business Development Manager, SKF Insight Rail

  • Enabling Condition Based Maintenance
  • How to extend the bearing maintenance interval with confidence while reducing maintenance costs
  • Building the Digital Maintenance: real case studies

 

2:20PM WHAT ARE THE CHALLENGES IN ACHIEVING SUCCESSFUL DIGITAL MAINTENANCE STRATEGIES – WHEN MOVING FROM TRADITIONAL METHODS TO A DIGITAL APPROACH?

Kapil Jambhulkar, Director of Rolling Stock Maintenance, Indian Railways

 

2:45PM THE BUSINESS CASE FOR RAIL AUTHORITIES TO COLLABORATE WITH SOLUTION PROVIDERS

(Reserved for RTA TBC)

  • What are the main risks of a digital transformation process focused on predictive maintenance implementation?
  • How can a railway authority avoid those risks and make the step forward with guarantees?
  • Are there longer advantages in further developing innovative or further bespoke solutions?
  • Convincing maintenance technicians that data driven maintenance is useful
  • How to connect your operations to enable enterprise analytics
  • How IoT will benefit operators by better aligning the supply chain and monitoring KPI’s

 

3:15PM AFTERNOON REFRESHMENTS IN THE NETWORKING EXHIBITION AREA

 

3:45PM MAINTENANCE PROCESS OPTIMISATION AND SCHEDULING

Deeepak Tripathi, Chief Mechanical Engineer and Head of Rolling Stock O&M, Konkan Railways (India)

  • Combining traditional methods, new technologies, better design, and alternative products
  • Process optimisation of workflow
  • Cost effectively replacing obsolete spare parts, components and materials
  • The Cloud: interfaces and devices
  • Maintenance equipment and maintenance facilities

4:10PM ROBUST DATA SECURITY: RESILIENCE AGAINST CYBER ATTACKS

 

4:35PM A SUCCESSFUL MAINTENANCE STRATEGY: EASILY ACCESSIBLE INFORMATION FOR MAINTENANCE MANAGERS

Dr. Harish Pant, Chief Business Transformation Officer, NTF India

  • Understanding and interpreting your data
  • Communicating your maintenance strategy throughout your organisation.
  • Minimising the inconsistency and unpredictability of manual labour: Reduce man power and cost and avoid human errors.
  • Understanding how to practically apply new technologies and new business models

5:00PM RETRO-FITTING VS REPLACEMENT OF ROLLING STOCK

Essam Selim, Project Manager & Team leader of Egyptian National Railways Locomotive Renewal Program at Dornier Consulting International

  • Rolling Stock life extension through retro-fitting
  • Better managing life extension and life-cycle costs with the digitalisation of maintenance
  • Practical, cost effective solutions to reduce downtime – solutions for obsolete spare parts

5:25PM CHAIRS CLOSING REMARKS AND SUMMARY

(Reserved for Saudi Railways Organisation TBC)

 

ALL ATTENDEE EVENING NETWORKING RECEPTION 

VIP GALA DINNER & INDUSTRY AWARDS

 

(Places and tables must be booked and reserved in advance – see ‘tickets’  limited places remaining)

Please send your Industry Award Nominations to us at info@we-rail.com

 

 

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