Rail Maintenance Middle East - The #1 Conference for Rail … · 2020. 7. 22. · MIDDLE EAST 2021 2021 MIDDLE EAST 2021 DUBAI, UAE The #1 Conference for Rail Professionals in the

MIDDLE EAST 20212021

MIDDLE EAST 2021

DUBAI, UAE

The #1 Conference for Rail Professionals in the Middle East 19 & 20 OCTOBER2021

www.rail-maintenance-middle-east.com

CREATED & ORGANISED BY:

Middle East Association FOR RAIL MAINTENANCEجمعيه الشرق الأوسط لصيانة السكك الحديدية

2021 PARTNERS:

2021




FOR INFORMATION ON SPONSORSHIP, EXHIBIT OR SPEAKING OPPORTUNITIES PLEASE CONTACT [email protected] or call us on +001 (313) 799 2911 or +44 (0)7932 631 029

EXHIBITOR CATEGORIES INCLUDE: Rolling Stock, Track & Infrastructure, Digital Twins, Condition Based Monitoring, Remote condition monitoring, Data Set Analysis, Smart Maintenance, IOT for Predictive Maintenance, Continuous Network Monitoring, Unmanned Diagnostic Systems, AI Integration, Technology to Support your Asset Management, Automated inspection techniques, Increasing Network Capacity

Following the success of the Rolling Stock & Track Maintenance Middle East 2019 which saw an unprecedented turn out, the Rolling Stock & Track Maintenance Middle East 2021 will demonstrate the most advanced Condition Based Maintenance Technologies and BIG DATA management solutions showing how to successfully implement advanced maintenance strategies and best leverage IoT and BIG DATA to drive innovative remote maintenance business cases.

New Rolling Stock maintenance and Track Maintenance technologies and SaaS (Software Services) business models are innovating optimisation of maintenance strategies, improving data analytics’ and reducing cost. Advanced data capture systems and analysis provide a whole new dimension of visibility on rail assets and allow rail operators to improve the return they get from their assets by developing new business processes and maintenance procedures.

This unique summit sets out to analyse both the predictive maintenance and asset optimisation

applications of IoT, Big Data and Condition Based Maintenance – to capture and ‘practically utilise’ data, allowing Train Operating Companies, Infrastructure Managers and Heads of Maintenance to implement or further advance their data capture systems, reducing costs and down time. Attendees will hear from some of the Gulf and Europe’s most successful case study examples and meet the global technology experts and suppliers who will demonstrate how those technologies can significantly improve your business.

As governments strive to meet project deadlines and heavily invest in rail infrastructure, we will also look at the many developing rail projects from across the region. Whilst Heads of Assets, Maintenance and Operations have made huge technological advancements; the exponential innovation in technologies to better harness and utilise data sets means that there remain many more opportunities for Rail Authorities and Train Operators to reduce costs, reduce down time, improve scheduling, increase capacity, efficiency, and better the over-all service.

After a decade of success in Europe, The ‘Digitalisation of Railway Asset Maintenance Summit arrives in the Middle East to showcase solutions and examples from across the world on how to implement advanced condition based / predictive maintenance systems and leverage IoT to drive advanced maintenance practice within your organisation and across the Middle East rail transit systems.

The Middle East is undergoing huge development in the rail sector, with multiple new projects approaching completion; with that will come higher passenger numbers, greater journey opportunities and more passenger expectations. The Middle East is undertaking a revolution in rail digitalisation and transformation at an accelerated pace, backed by huge government interest and investment. This summit is the only ‘maintenance specific’ - strategic, high-level, content-lead conference representing the key stake holders across the entire region.

We look forward to you joining us at this unparalleled meeting for rail professionals.

Rolling Stock & Track Maintenance Middle East 2021


MIDDLE EAST 20212021

MIDDLE EAST 2021

OPPORTUNITIES & CHALLENGES OF NEW MAINTENANCE TECHNOLOGIES INTO THE MIDDLE EAST RAIL SECTOR - DAY 1

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. In Partnership with Saudi Arabia Railways

• 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

• Preventative failure prediction

• Digitalisation and Smart Maintenance

• The use of Data to optimize availability of critical assets

• Improving Operational Profitability Through Fleet Condition Monitoring

• Discover what tools are available and what are their different capabilities

DIGITALISATION OF RAILWAY ASSET MANAGEMENT - DAY 2

• Digitalising to bring better track and asset availability: Smart Maintenance

• Improve service reliability, cost, efficiency and maintenance practice

• Reduce downtime as a result of maintenance activities

• Limit failures and unplanned maintenance

• The evolution from reactive maintenance to an advanced predictive model

• New technology application show case

• Digitally analysis switches & crossings

• Continuous Network Monitoring: Predictive Maintenance and Data Utilisation

• Unmanned Diagnostic Systems for Track Inspection:

• Processing their results

• Increasing Network Capacity – Shortening Time Required to Perform Monitoring & Maintenance Activities

• Advanced, Solution Empowered Railway Asset Management

• Artificial Intelligence Integration

• Technology to Support Your Infrastructure Asset Management

• Fixed Asset Monitoring

• Dynamic Measurement

• Automated Inspection Techniques

• Maintenance Delivery and Reliability

19 OCTOBER, 2021 20 OCTOBER, 2021

SPEAKERS

FROM

2021

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 COMPONENTSJustin Southcombe – Perpetuum (tbc) 10:00AM UPGRADING ASSET MANAGEMENT SYSTEMS, REPORTING & ANALYTICS TO IMPROVE DATA MONITORING EFFICIENCIESMohammed 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 TECHNOLOGIESDeepak Tripathi, Chief Maintenance Engineer & Head Of Railway Maintenance, Konkan Railway Corp

10:40AM FROM REAL TIME ASSET MONITORING TOWARDS DYNAMIC MAINTENANCE AND OPERATIONSFrederic 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 TECHNOLOGYAmmar Alanazi, Director Of The National Center For Artificial Intelligence And Big Data TechnologyKACST – 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 ADOPTIONSamy Abdaltawab Abdullatif Mohamed, Vice Chairman And Head Of Line 2 & 3 Of Greater Cairo Metro (tbc)


MIDDLE EAST 202119 OCTOBER, 2021

AGENDA2021

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 VEHICLEGiuseppe 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 MAINTENANCENick 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 POSITIONINGFrauscher 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 DIAGNOSTICJavie 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-SETVictor 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 OPERATIONSMatt 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 OSI SOFT

4:00PM FROM REAL TIME ASSET MONITORING TOWARDS DYNAMIC MAINTENANCE AND OPERATIONSFrederic 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 MAINTENANCEDr. 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 STOCKVivek Mohan, Director, Mechanical Engineering (Freight), Indian Railways

5:20PM SERCO MIDDLE EAST: ROLLING STOCK OptimisationAdam 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 ALL ATTENDEE DRINKS RECEPTION HOSTED BY SERCO MIDDLE EAST


MIDDLE EAST 202119 OCTOBER, 2021

AGENDA2021


20 OCTOBER, 2021

AGENDAMIDDLE EAST 2021

2021

8:00AM REGISTRATION AND BREAKFAST NETWORKING

8:30AM CHAIRS OPENING

8:40AM OPTIMISING INFRASTRUCTURE MAINTENANCE FROM UTILISING PREDICTIVE MAINTENANCE AND IMPLEMENTING INNOVATIVE NEW TECHNOLOGIES• Comparing user experiences from infrastructure

operators with utilising predictive maintenance and big data to run more trains on the network safely

• What kind of data is being used to identify possible infrastructure failures?

• Which data represents the highest quality or highest value for predictive models?

• In which categories can you predict failures and defects? (e.g. switch failures, train induction, rail body)

• Changes in work processes and how to work co-operatively with contractors

• Decision making processes for predictive maintenance strategies

9:00AM UTILISING DATA TO REDUCE MANUAL SURVEYS AND INFRASTRUCTURE INSPECTION – HOW TO TURN DATA INTO VALUE FOR RAIL INFRASTRUCTURE MANAGERS• Driving value from data: How do you extract value

from your data?• How do you run more trains safely and how can

you do that without• increasing the cost of inspection by using the data

you have more effectively?• Maximising use of available data across different

disciplines involved in maintenance, including operations and plant

• Using data to plan a maintenance optimisation strategy

• Developing more efficient work practices (more work in less time)

9:20AM FUTURE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR DEEP MAINTENANCE DATA UTILIZATION• Using new tools for big data and machine learning

to move towards new models of very deep maintenance

9:40AM INTEGRATING IOT APPLICATIONS TO ASSIST ASSET MANAGEMENT AND PREDICTIVE MAINTENANCE PROGRAMMES• Challenges of integrating the Internet of Things

into your asset management strategy and obtaining end-to-end solutions rather than just individual products

• Predictive algorithms and linking them to asset management systems

• Technical and commercial challenges associated with combining and integrating various systems with enterprise asset management systems

10:00AM PRACTICAL IMPLEMENTATION OF THE LATEST INNOVATIONS IN TRACKSIDE MONITORING TECHNOLOGIES TO IMPROVE COST, SAFETY AND AVAILABILITY OF INFRASTRUCTURE ASSETS• How to inspect and accurately measure crossings

and turnouts• Ensuring the safety of the switches/points• How to inspect crossings and turnouts reducing

track possession, with no transportation and with an accurate measurement?

• Using video inspection & machine-learning

techniques for the identification of potential defects of switches: Do we use another technology or better using both technologies combined?

• How to maintain the environments of your SNC’s in the best way? How to measure them?

• New approaches on maintenance strategies of SNC’s to optimise safety factor – Maintenance Performance Indicator (MPI) & research projects

• Track geometry and switch geometry digital measuring

• What types of sensors you get most reliable on this data for these different switches and systems

10:40AM USING MEASUREMENT DATA FOR QUALITY TAMPING• Utilization of tamping and how to better align

material tamping• Using liability switching crossings• How are railways maintaining the environments of

their switching and crossings? 11:00AM MORNING BREAK & NETWORKING 11:40AM VEHICLE MONITORING THE TRACK – DEVELOPMENT OF THE TRACK CONDITION MONITORING SYSTEM FROM IN SERVICE VEHICLES• Vehicles Monitoring the Track• Detection of Track Faults from In-vehicle Data• Detection Algorithm Development• Trials on Infrastructure• Track Quality Assessment from In-service Vehicles

12:00PM OPTIMISING INFRASTRUCTURE MAINTENANCE & THE CURRENT MARKET STATE• Identifying the current challenges: Reduce cost –

whilst increasing capacity and safety• Identifying the areas and opportunities for financial

gain• Understanding the real opportunities and

challenges: Reliability, Cost, Efficiency and Standards

• Asking the right questions is the first route to go entering the world of BIG DATA – translating Big Data into financial gains

• Advances in Predictive Maintenance• What are the major challenges when driving down

cost? Capacity, Downtime, scheduling?• What information is required to benefit your

business?

12:20PM SIGNALLING SYSTEMS DIGITALIAZATION: TOWARDS A NEW GENERATION OF O&M SOLUTIONSNadia Mazzino, Vice President – Control Center Integration and Advanced Services, Hitachi Rail STS (tbc)• STS signaling products evolution in the digital

revolution• STS Intelligent Asset Management System (IAMS):

Description of the STS platform and its capabilities leveraging on signaling systems digitalization to drive O&M capabilities

• IAMS application over the world on different STS systems: Metro and Railway (passenger and freight) applications

• Final results & O&M benefits


12:40PM REDUCING MAINTENANCE COST AND FAILURES WITH SUCCESSFUL PREDICTIVE MAINTENANCEBruno GAJAN, HealthHub Tenders & Infra Project Manager, Alstom Group (tbc)• Opportunities for predictive maintenance: Using

geo-data for Track maintenance• What Data? Finding data that you didn’t know

existed and strategic Data Utilisation• Diagnosing track defects: Diagnostic data to

monitor track conditions• Leverage asset management to maximise

maintenance delivery & reliability of assets• Reduce number of failures and unplanned

maintenance

1:00PM SMART SYSTEM ENGINEERING FOR HIGH SPEED TRAINS MAINTENANCEJosé Antonio Marcos Alberca Carriazo, Head manager of Smart maintenance Engineering, TALGO (tbc)• Nowadays High-speed train maintenance is very

complex and high tech, and the challenges to achieve as reliability availability are very high. In order to reach these challenges, Talgo has developed new maintenance technologies based on the latest technology and innovation to perform condition-based maintenance (CBM) to predict the failures and increase train availability and reliability.

• To apply condition-based maintenance techniques, Talgo has developed algorithms capable to predict the failures, using machine learning technology to do it.

• Machine learning, need a lot of data to model the algorithms, therefore Talgo have developed a real-time monitoring system using Google Cloud architecture.

• The health status is assessed by machine learning

algorithms, capable of detecting anomalous behaviour. In addition to this approach of Artificial Intelligence, in the health of the component other relevant factors in the maintenance play an important role, such as the information of the component maintenance operations performed or the events and alarms that the component has generated.

• Through this technology the Talgo Maintenance team is able to anticipate the failure of the component, which makes it possible to achieve train reliabilities around 100%. In addition, with this possibility of prediction, it is possible to perform a more effective maintenance of the components, taking advantage of a longer life of them. On the other hand, this anticipated vision allows maintenance operations to be programmed more efficiently, reducing their time and cost of execution

1:20PM LUNCHEON NETWORKING EXHIBITION AREA

2:20PM INDUSTRIAL INTERNET OF THINGS (IIOT) TECHNOLOGIES INTO RAIL AND TRANSPORT OT ENVIRONMENTS OFFERS THE BENEFITS OF CONNECTED OPERATIONS WHILE PROVIDING UNMATCHED SECURITYJames Birdsall, Project Manager, Asset Management Practice Leader, PARSONS Corporation• System wide infrastructure digitization efforts to

support formation of BIM, asset inventory, and condition assessment data sets

• Asset performance modeling and automated deficiency management

• Use of improved technology capabilities including native mobile applications, 3D cameras, and drones to semi- to fully-automate infrastructure

digitization efforts• Real-time video capture and analysis capabilities to

provide real-time system support• Comprehensive cybersecurity capabilities to

address vulnerabilities within Railway Systems and Infrastructure,

• Improved access control and drone identification and suppression capabilities

• Edge computing on connected devices to optimize data processing and response times,

• Last mile and broader network interconnectivity to optimize bulk good, freight, and ridership usage

2:40PM LUNCHEON NETWORKING EXHIBITION AREA

3:00PM SEPARATING MEANINGFUL DATA FROM THE MASS OF DATA COLLECTED BY SENSORSMehmet Ali Dagil, Chief Engineer, Istanbul Metro• Mass of Data Challenge• Mining for the Valuable Data• Finding the Right Miner• Importance of Analysis Methods• Cost of Separation, Finding in the Right Way

3:20PM ACHIEVING OPTIMUM ASSET RELIABILITY AND MINIMISE MAINTENANCE COSTSMartin Vallance, Head of Digital Asset Management and Operations MEA, Atkins• Shifting from traditional maintenance to a

predictive model: Diagnostic inspections vs visual inspections

• Methods and process for implementing track predicative maintenance

• The future of technology applications for maintenance and data utilisation

• Algorithms and image processing technologies• Real-time information: Separating meaningful

data from the enormous amount that has been collected

3:40PM DIAGNOSTIC AND MAINTENANCE MACHINESAdrian Sutton, Managing Director at Vortex IoT• Automatic inspection: Vision systems technology• Automatic patrolling and periodical inspection• Track Geometry• At which speeds are you able to recognise defects• Continuous monitoring with unmanned systems• Machine learning

4:00PM AUTOMATIC INSPECTION: VISION SYSTEM TECHNOLOGYDr David McGorman, Managing Director at Instrumentel ltd, Part of Unipart Rail 4:20PM AFTERNOON REFRESHMENTS IN THE NETWORKING EXHIBITION AREA 5:00PM PANEL SESSION : DATA INFORMATION ARCHITECTURE WITHIN YOUR ENTERPRISE• Importance of data/information architecture in an

organisation moving towards digitalisation• Dependencies of Data? information Architecture

within your enterprise• Key factors of Data / Information Architecture when

implementing IoT• Dynamic Maintenance Management Systems: One

single data base for all information• BIG DATA system architecture and functions

5:30PM CHAIRS CLOSING REMARKS & SUMMARY

20 OCTOBER, 2021

AGENDAMIDDLE EAST 2021

2021

MEDIA PARTNERS

WHO SHOULD ATTEND?

TRAIN OPERATING COMPANIES

Directors of Maintenance, Directors of Asset Management, Head of Technology, Directors of Operations, Heads of Remote Diagnostics, Directors of IT & Strategy, Chief Information Officers, Heads of Data & Analytics, Directors of Procurement, Heads of Rolling Stock, Infrastructure Asset Managers, Chief Technology Officers, Directors of Infrastructure, Heads of Smart Maintenance, Chief Innovation and Digital Officer, Managers of Asset Information, Directors of Data Intelligence, Chief Information Officers, Managing Directors, General Managers, Heads of Smart Maintenance, CMO, Infrastructure Managers, Director of technology and Innovation, Managers of Asset Information, Consultants – Data and Digitalisation, CMO, Head of Data and Analytics, Chief Innovation & Digital Officer, CEO’s, Heads of Enterprise Architecture, Directors of Rolling Stock Engineering & Maintenance, Maintenance Planning and Control, Directors of Technology and Innovation, Chief Technology Officer, Data Scientists, Manager of Asset Information, Heads and Mangers of Track, Track Maintenance, Infrastructure, Engineering, Track Systems, Condition Based Maintenance, Maintenance, Asset Management, Data/IT, Diagnostics and Maintenance, Assets, Tamping, Safety, Quality, Reliability, Diagnostics and maintenance machines, Directors of Maintenance, Directors of Asset Management, Head of technology, Directors of Operations, Heads of Remote Diagnostics, Directors of IT & Strategy, Chief Information Officers, Heads of Data Analytics, Directors of Procurement, Infrastructure Asset Managers, Directors of Infrastructure, Head of Track equipment, Director of Technology and Innovation, Managers of Asset Information, Consultants, Data and Digitalisation

Federal Transport Authority – Land & Maritime (FCA), United Arab Emirates Ministry of Infrastructure Development, Dubai Expo2020, Abu Dhabi Metro and Tramway, Dubai Metro, UAE Superloop, Oman Mineral Railway, Oman National Railway, Riyadh-Damman, Riyadh-Riyadh, Saudi Landbridge, Makkah Metro, Jeddah Metro, Damman Metro, Egyptian National Railway, Cairo Metro Extension, Roads & Transport Authority RTA, Department of Transport, Dubai Municipality, SAR, Public Transport Authority, Oman Rail, Makkah Mann Rail Transit, Metro Jeddah Company, Arriyadh Development Authority, Egyptian Railways, Carro Metro, ONCF, Transport SA, SNTF, Indian Railways, Oracle Expert, Systems Interface Managers, Rolling Stock Technician, (RAMS) Engineers



FOR INFORMATION ON SPONSORSHIP, EXHIBIT OR SPEAKING OPPORTUNITIES PLEASE CONTACT [email protected] or call us on +001 (313) 799 2911 or +44 (0)7932 631 029

EXHIBITOR CATEGORIES INCLUDE: Rolling Stock, Track & Infrastructure, Digital Twins, Condition Based Monitoring, Remote condition monitoring, Data Set Analysis, Smart Maintenance, IOT for Predictive Maintenance, Continuous Network Monitoring, Unmanned Diagnostic Systems, AI Integration, Technology to Support your Asset Management, Automated inspection techniques, Increasing Network Capacity

TICKETS SUPER EARLY BIRD RATE

STANDARD RATE

TOC & TRANSIT AUTHORITY

£500

TOC & TRANSIT AUTHORITY

£1500

SUPPLIER*

£750

SUPPLIER*

£2100

Access to all conference content, networking activities, food and beverages plus membership to Middle East Association for Rail Maintenance.

Access to all conference content, networking activities, food and beverages plus membership to Middle East Association for Rail Maintenance.

The Super Early Bird Rate Expires on the 9th April 2021

*Supplier rates apply to any organisation other than TOC & Rail Operator.

*Supplier rates apply to any organisation other than TOC & Rail Operator.

SPONSORSHIP & SPEAKING OPPORTUNITIES• EVENT PARTNERS PACKAGE • CO-SPONSORSHIP• NETWORKING BREAK

SPONSORSHIP

For Full Details & Costs Please Contact:[email protected]: +1 (313) 799 2911 or +44 7932 631 029

www.rail-maintenance-middle-east.com [email protected]



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Rail Maintenance Middle East - The #1 Conference for Rail … · 2020. 7. 22. · MIDDLE EAST 2021 2021 MIDDLE EAST 2021 DUBAI, UAE The #1 Conference for Rail Professionals in the