8:00AM Registration And Breakfast Networking

 

8:30AM Chairs Opening

8:40AM How Can IoT And BIG DATA Transform Rail & Rolling Stock Maintenance

  • Identifying and positioning the unique territorial, terrain and operating challenges specific to the middle east region, Rail Operators, Transit Authorities, Municipalities and Key Stake Holders
  • Exploring the potentials of Digitalisation to enhance your operations and cost efficiencies
  • A Partner ecosystem enables a new thinking for rail

9:00AM Depot Planning And Refurbishment To Incorporate New Technology – Including Robotics, Condition Monitoring, Scanning Systems & Automation

  • Best practices for optimising and planning depot maintenance activities
  • Optimally configuring new technologies
  • Training the workforce to handle new technologies

9:20AM Strategic Planning For Retrofitting On Board Data Collection Systems (Case Study)

Kapil Jambuhlkar, Head of Rolling Stock Maintenance – Indian Railways

  • Extending the life and cost efficiency of ageing rolling stock – development of a technical retrofitting strategy
  • Business case and budgeting for retro-fitting
  • Examining the technologies, sensors and devises to be used on rolling stock itself, the technology systems, databases and IoT
  • Identifying what is possible when developing a strategy to retrofit ageing rolling stock, cost and feasibility

9:40AM Interpreting Data To Deliver Actual Results On Reducing Maintenance Cost, Predicting Failure Condition & Optimizing The Reliability Of Onboard System Components

Justin Southcombe – Perpetuum (tbc)

 

10:00AM Upgrading Asset Management Systems, Reporting & Analytics To Improve Data Monitoring Efficiencies

Mohammed Alshamlan, Rolling Stock Digitalization Strategy Manager, Saudi Railway Company (tbc)

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

  • How to identify opportunities to upgrade asset management systems and monitoring systems on legacy trains to improve on reliability and reduce maintenance incidents.
  • Examining the business case for making the investment in upgrading.
  • Understanding the life cycle cost and potential maintenance savings for the entire life of the train

10:20AM Customization And Integration of Wayside SMART YARD and On Board Condition Monitoring Technologies

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

 

10:40AM FROM REAL TIME ASSET MONITORING TOWARDS DYNAMIC MAINTENANCE AND OPERATIONS

Frederic Sanchez, Maintenance Operations Director, Alstom Group

  • Mastering Condition-Based Maintenance and PHM (prognostics & health management
  • Turning data into actions to improve the efficiency of operations and maintenance execution
  • Innovative Dynamic Maintenance Planning programme

 

11:00AM NETWORK BREAK HOSTED BY HYPERLOOP-ONE

 

11:30AM Transforming Middle East Rail-Freight With Digitalized Systems And IoT

11:50AM The Cyber Threat: Strategies For Protecting And Securing The Digital Future

  • Advancement of integrated operational technologies and the Railway Internet of Things have enhanced operational efficiency but paradoxically has increased the attack surface exponentially across the international transport sector
  • The impact of supply chain vulnerabilities, insecure IT systems, the challenge of securely converging IT and OT and managing blind spots in the networks asset inventory, has increased security threats.
  • Invested in ensuring the design of a secure foundation
  • Innovation, Standardisation and Cybersecurity by Design for Digital Railways- Overview from the European Commission
  • Protecting customised transport systems and unified data streams: handling growing privacy concern
  • Safety and security in a digital age: Protecting Assets and Infrastructure Networks
  • Preventing Cyber Hacks: Enabling Secure Frameworks And Addressing The Heightened Security Challenges
  • Infrastructure And Assets To Increase Safety, Performance and Functionality

12:10PM LEVERAGING ‘BIG DATA & IoT’ TO INNOVATE ROLLING STOCK MAINTENANCE: ARTIFICIAL INTELLIGENCE (AI) AND BIG DATA TECHNOLOGY

Ammar Alanazi, Director Of The National Center For Artificial Intelligence And Big Data Technology

KACST – King Abdulaziz City For Science And Technology (tbc)

  • What is ‘Big Data’, IoT & Industry 4.0?
  • Why and how is ‘Big Data’ and IOT transferable
  • Outlining the ambitions of “Big Data, IoT and 4.0
  • Identifying the unknown data – data you did not know existed
  • Identifying the areas and opportunities for financial gain
  • Effective planning and control of maintenance tasks
  • Real time monitoring of asset health
  • Creating value by digitalising train operations
  • SaaS ‘Software as a Service Business Model

12:30PM THE CHALLENGES AND IMPLICATIONS OF DIGITAL ADOPTION

Samy Abdaltawab Abdullatif Mohamed, Vice Chairman And Head Of Line 2 & 3 Of Greater Cairo Metro (tbc)

12:50PM The Rail Maintenance Transformation Journey – How IoT And Predictive Maintenance Can Reduce The Cost And Increasing Quality Along The Entire Cycle Of A Railway Vehicle

Giuseppe Giannini, Global Head Of Services And Maintenance Technology And Systems, Hitachi Rail STS

 

 

1:00PM NETWORKING LUNCHEON

 

1:50PM THE CURRENT AND FUTURE STATE OF WAYSIDE DIAGNOSTIC MONITORING AS A TOOL FOR CONDITION BASED MAINTENANCE

Nick Ashberger, General Manager Business Development, Track IQ, A Wabtec Company

  • Designed to measure and monitor the condition performance of rail car components
  • Automated analysis of component condition data identifying faults before failures occur
  • European customer case study demonstrating the benefits and future of this technology

2:10PM QUANTITATIVE DATA AND MACHINE LEARNING ENABLE A QUANTUM LEAP IN REAL-TIME-TRAIN POSITIONING

Frauscher Sensor Technology  [tbc]

  • Quantitative DAS is the next evolution of distributed wayside sensing
  • In combination with machine learning, this technology provides more accurate information
  • Real-Time train localisation, detailed information on train length and train integrity will enable new and efficient approaches for future proof train operation

2:20PM DIGITALISATION OF ROLLING STOCK MAINTENANCE: NOT ONLY A MATTER OF PREDICTIVE DIAGNOSTIC

Javie de la Cruz – LeadMind Managing Director, CAF S.A

  • Pros and cons and state of the art of predictive maintenance
  • Role to introduce LEADMIND: Predictive Analytics For Rolling Stock
  • What else can digitalisation bring to Rolling Stock Maintenance?
  • Digitalisation success cases beyond the predictive diagnosis

2:40PM Wheel set Lifecycle Monitoring

3:00PM On-Board IoT Solutions Applied For Reliable Maintenance Extension Of Safety Critical Railway Wheel-Set

Victor Martinez, Global Head of Condition Monitoring & Digitalisation Competence Center, SKF Group [tbc]

  • Bogies maintenance encounters high percentage of the train lifecycle cost and wheel life has been considerably extended during recent years
  • Wheel-set bearings are safety critical components with fixed maintenance intervals, are becoming the limiting factor for wheel-set bogie overhaul maintenance extension

3:20PM Overcoming The Challenges of Supporting A Network-Wide Program When Digitalising Your Operations

Matt Miller, Global Transportation Industry Principal, OSIsoft

  • Recognising The Technical Barriers That Effect Progression During The Lengthy Public Tendering Process
  • Proof of Practice – Highlighting Several National Developments In Rail
  • Compare Lessons Learnt

 

3:40PM NETWORKING BREAK HOSTED BY

 

4:00PM From Real Time Asset Monitoring Towards Dynamic Maintenance And Operations

Frederic Sanchez, Maintenance Operations Director, Alstom

4:20PM PROCESSING BIG DATA FOR MAINTENANCE – WHAT NEW TECHNOLOGIES CAN BE APPLIED TO ROLLING STOCK IN A COSTS EFFECTIVE MANNER?

  • How To Ensure You Are Getting Maximum Value For Your Data – Collection, Storage, Processing And Presentation
  • Capturing Data Systematically So It Can Be Compared Accurately With Previous And Future Data
  • Realising Value From Data From Outside Your System
  • Utilising Real Time Monitoring – Getting Data From The Source To Your Data Base, And Actually Using It
  • How Can You Crunch Data Into Useful Formats That Can Be Processed In A Meaningful And Easy To Understand Way
  • Analysing And Interpreting Data And Establishing Trends
  • Importance Of Data Quality And Data As An Asset

4:40PM How To Prepare For Predictive Maintenance

Dr. David Mcgorman, Managing Director At Instrumental, Unipart Rail Company

  • Condition Based Maintenance and the importance of actionable information
  • Data acquisition and large number of Rail assets and the importance of understanding your data
  • Case Study: Showing how condition based maintenance can create value, operational efficiencies and savings
  • How Condition Based Maintenance informs our Condition Based Supply Chain, creating a digital dynamic supply chain of the future

5:00PM The Indian Railways Big Data Strategy For Rolling Stock

Vivek Mohan, Director, Mechanical Engineering (Freight), Indian Railways

5:20PM SERCO Middle East: Rolling Stock Optimisation

Adam Scanlon, Rolling Stock & Depots Manager, Dubai Metro, SERCO Middle East

  • How can we measure the benefits of digitalisation?
  • What will the future look like when IoT & BIG DATA has fully landed
  • Using Digital Twin concepts to drive digital transformation

 

 

5:40PM SERCO Middle East: All Attendee Drinks Reception Hosted By