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Enabling the Real Time Airport
at Dubai International

Mazhar Butt, Head of Service Delivery, Dubai Airports
Martin Bowman, Sector Director, Amor Group




                                             © Amor Group 2010
Agenda

•   Introduction to DA and Amor
•   Real Time Airport vision
•   Business case for real time service monitoring
•   Real Time Management principles
•   Real Time Monitoring technology overview
•   DA Service Delivery Measurement project
•   Future Real Time Airport developments
•   Conclusion
Amor Group Overview


                                      Scotland’s Largest
                                    Independent Business
                                     Technology Company


•   Public Services, Transport and Energy
•   Global clients
•   500 + employees
•   Locations UK (6), Houston TX and Dubai
•   World leading experts on technology solutions for real
    time airport monitoring
Our Customers
DA and Amor’s Shared Vision
Why Real Time Service Measurement?
• Manual PAX survey process is inaccurate and
  open to human error
• Poorly managed queues creating negative
  perception of airport
• Lack of analytical information on PAX flow
  around the airport impacting tactical and
  strategic planning
• Increased times in queues means less time
  available for airside retail spend
• Failure to meet airline or regulatory SLAs on
  queue wait times e.g. short transfer time
Decreased wait time = increased revenue

 „‟every minute a passenger spends
 queuing can, on average, cost an airport
 approximately €0.70 in revenue‟‟
Real Time Service MANAGEMENT

• Before we look at MEASUREMENT
• We must consider MANAGEMENT
Real Time MANAGEMENT

• We need to MEASURE what we can
  MANAGE
  – UNDERSTAND the business drivers at each
    location (pinchpoint)
  – IDENTIFY how to react to pinchpoints
  – CONSIDER inter-relationships between
    pinchpoints, KPIs and measurements
Requirements to Measure Service Delivery
• To measure the service delivery we need technology
  solutions that can
   –   Count People/Passengers
   –   Cumulative Count People/Passengers
   –   Track Passenger Journey
   –   Measure Passenger Process Time
   –   Measure Passenger Dwell Time
   –   Count Vehicles
   –   Track Vehicle Journey
   –   Track Trolleys
   –   Predict Passenger Demand
• Combine different measurements to derive Service
  Delivery Measurements
Basic Measurements/KPIs Per Pinchpoint

•   Queue Time
•   Length of Queue (Number in Queue)
•   Process (Transaction) Time
•   Flowrate/Area Capacity
         Although not all
                               Many KPIs are often broken
      measurements are as
                                when queue length is low
       important as others!
                                  AND flowrate is poor
     Length of Queue is very
                                Situations like this do not
     dependant on Flowrate
                                always alert management
Service Delivery ALERTING

• Simple KPI alarm thresholds insufficient
• Alarm management must be able to
  –   Monitor “Normal” operations
  –   Detect “Failing” operations
  –   Provide e-mail/SMS alerts
  –   Provide additional “Decision Support” information
       • What demand to expect
       • Other terminal influences
• Alarm Management must
  – Help identify the failure point
  – Not “Overload” managers with alerts
Real Time Monitoring Technologies

• No single solution exists that can satisfy
  all airport requirements
• Airports must consider a measurement
  ecosystem based on their own passenger
  dynamics
• In many cases external systems can be
  very valuable
Current Technologies

•   Bluetooth mobile device tracking
•   Video analytics
•   Thermal image counting
•   Infra-red beam break
•   External systems
External Systems Examples
• Car Park Management       • Boarding Gate Systems
• RFID Vehicle Tracking     • Baggage Handling
• Check-in Systems            System
• Trolley RFID              • Building Management
• Immigration Egates          System
• Iris Scan (arriving       • AOS Systems
  passengers)               • Met System
• Archway Metal Detectors   • X-Ray Machines
DA Service Delivery Overview




                           © Amor Group 2010
DA Service Delivery Management overview


                        105 Different
                        Pinchpoints




       406 Individual
           KPIs
DA business drivers
• Service Development
   – Establishing and monitor airport wide service levels
   – Drive an increase in ACI scoring
• Strategy
   – Increased analytical data on passengers flows
   – Feed data into Terminal Simulation tools
• Terminal Operations
   – Real time information on passenger process
     bottlenecks
   – Enhance tactical resource deployment
DA Solution Overview

            Service
             Service                                                                                                                                               JCR/AOCC
                                                                                                                                                                    JCR/AOCC
          Development
          Development                                                  Master Planning and Performance Analysis                                                    Operations
                                                                                                                                                                   Operations

                                                                                      Historical Reporting

      Terminal Operational
      Terminal Operational                                                   Visualisation and Dashboarding                                                           DA Strategy
                                                                                                                                                                      DA Strategy
         Management
         Management
                                  Airport                                                                                                              Airport
                                Operational                         Service Delivery Measurement Data Warehouse                                      Operational
                                 Systems                                                                                                              Forecasts

                                                                                                                                                      External          Third Party
                                                                                                                                                                        Third Party
            Mobile
            Mobile                                          Sensor Measurement Management and Data Integration Layer                                  Systems          Stakeholders
                                                                                                                                                                       Stakeholders
            Users
            Users
                                              Sensor    Sensor    Sensor    Sensor     Sensor    Sensor      Sensor    Sensor    Sensor    Sensor
                                              Adaptor   Adaptor   Adaptor   Adaptor    Adaptor   Adaptor     Adaptor   Adaptor   Adaptor   Adaptor




 Extended Users
 Extended Users
(eg DA Web Site,
(eg DA Web Site,
 Salik Web Site)
  Salik Web Site)      External Systems
                       External Systems
                    (eg Resource Planning
                    (eg Resource Planning
                      and Management)
                      and Management)
Real Time Service Feeds
PAX Process Overview Dashboard
Multiple Terminal View
T3 PAX Demand Forecast




                Drill Down Detail
Real Time Workforce via Mobile Devices
Future Real Time Monitoring Solutions

• Ability to discretely track WIFI signals on
  smartphones
   – Embedded within Bluetooth measurement system
   – Proof of concept due to commence at two major
     European airports
• Human Recognition Systems
   –   Long distance Iris scanning
   –   Conceptually sound
   –   Technology in pilot phase at LGW
   –   Adoption likely to increase in 2012
Conclusion

• The Real Time Airport of tomorrow can be
  achieved today
• A range of technology solutions exist today that
  can add immediate value to your airport
  operations
• Dubai Airport is leading the world in its holistic
  approach to Real Time Monitoring
• The Real Time Airport principles shall be
  extended as a key enabler in DA‟s growth
  strategy

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Enabling the next generation airport at DXB

  • 1. Enabling the Real Time Airport at Dubai International Mazhar Butt, Head of Service Delivery, Dubai Airports Martin Bowman, Sector Director, Amor Group © Amor Group 2010
  • 2. Agenda • Introduction to DA and Amor • Real Time Airport vision • Business case for real time service monitoring • Real Time Management principles • Real Time Monitoring technology overview • DA Service Delivery Measurement project • Future Real Time Airport developments • Conclusion
  • 3. Amor Group Overview Scotland’s Largest Independent Business Technology Company • Public Services, Transport and Energy • Global clients • 500 + employees • Locations UK (6), Houston TX and Dubai • World leading experts on technology solutions for real time airport monitoring
  • 5. DA and Amor’s Shared Vision
  • 6. Why Real Time Service Measurement? • Manual PAX survey process is inaccurate and open to human error • Poorly managed queues creating negative perception of airport • Lack of analytical information on PAX flow around the airport impacting tactical and strategic planning • Increased times in queues means less time available for airside retail spend • Failure to meet airline or regulatory SLAs on queue wait times e.g. short transfer time
  • 7. Decreased wait time = increased revenue „‟every minute a passenger spends queuing can, on average, cost an airport approximately €0.70 in revenue‟‟
  • 8. Real Time Service MANAGEMENT • Before we look at MEASUREMENT • We must consider MANAGEMENT
  • 9. Real Time MANAGEMENT • We need to MEASURE what we can MANAGE – UNDERSTAND the business drivers at each location (pinchpoint) – IDENTIFY how to react to pinchpoints – CONSIDER inter-relationships between pinchpoints, KPIs and measurements
  • 10. Requirements to Measure Service Delivery • To measure the service delivery we need technology solutions that can – Count People/Passengers – Cumulative Count People/Passengers – Track Passenger Journey – Measure Passenger Process Time – Measure Passenger Dwell Time – Count Vehicles – Track Vehicle Journey – Track Trolleys – Predict Passenger Demand • Combine different measurements to derive Service Delivery Measurements
  • 11. Basic Measurements/KPIs Per Pinchpoint • Queue Time • Length of Queue (Number in Queue) • Process (Transaction) Time • Flowrate/Area Capacity Although not all Many KPIs are often broken measurements are as when queue length is low important as others! AND flowrate is poor Length of Queue is very Situations like this do not dependant on Flowrate always alert management
  • 12. Service Delivery ALERTING • Simple KPI alarm thresholds insufficient • Alarm management must be able to – Monitor “Normal” operations – Detect “Failing” operations – Provide e-mail/SMS alerts – Provide additional “Decision Support” information • What demand to expect • Other terminal influences • Alarm Management must – Help identify the failure point – Not “Overload” managers with alerts
  • 13. Real Time Monitoring Technologies • No single solution exists that can satisfy all airport requirements • Airports must consider a measurement ecosystem based on their own passenger dynamics • In many cases external systems can be very valuable
  • 14. Current Technologies • Bluetooth mobile device tracking • Video analytics • Thermal image counting • Infra-red beam break • External systems
  • 15. External Systems Examples • Car Park Management • Boarding Gate Systems • RFID Vehicle Tracking • Baggage Handling • Check-in Systems System • Trolley RFID • Building Management • Immigration Egates System • Iris Scan (arriving • AOS Systems passengers) • Met System • Archway Metal Detectors • X-Ray Machines
  • 16. DA Service Delivery Overview © Amor Group 2010
  • 17. DA Service Delivery Management overview 105 Different Pinchpoints 406 Individual KPIs
  • 18. DA business drivers • Service Development – Establishing and monitor airport wide service levels – Drive an increase in ACI scoring • Strategy – Increased analytical data on passengers flows – Feed data into Terminal Simulation tools • Terminal Operations – Real time information on passenger process bottlenecks – Enhance tactical resource deployment
  • 19. DA Solution Overview Service Service JCR/AOCC JCR/AOCC Development Development Master Planning and Performance Analysis Operations Operations Historical Reporting Terminal Operational Terminal Operational Visualisation and Dashboarding DA Strategy DA Strategy Management Management Airport Airport Operational Service Delivery Measurement Data Warehouse Operational Systems Forecasts External Third Party Third Party Mobile Mobile Sensor Measurement Management and Data Integration Layer Systems Stakeholders Stakeholders Users Users Sensor Sensor Sensor Sensor Sensor Sensor Sensor Sensor Sensor Sensor Adaptor Adaptor Adaptor Adaptor Adaptor Adaptor Adaptor Adaptor Adaptor Adaptor Extended Users Extended Users (eg DA Web Site, (eg DA Web Site, Salik Web Site) Salik Web Site) External Systems External Systems (eg Resource Planning (eg Resource Planning and Management) and Management)
  • 21. PAX Process Overview Dashboard
  • 23. T3 PAX Demand Forecast Drill Down Detail
  • 24. Real Time Workforce via Mobile Devices
  • 25. Future Real Time Monitoring Solutions • Ability to discretely track WIFI signals on smartphones – Embedded within Bluetooth measurement system – Proof of concept due to commence at two major European airports • Human Recognition Systems – Long distance Iris scanning – Conceptually sound – Technology in pilot phase at LGW – Adoption likely to increase in 2012
  • 26. Conclusion • The Real Time Airport of tomorrow can be achieved today • A range of technology solutions exist today that can add immediate value to your airport operations • Dubai Airport is leading the world in its holistic approach to Real Time Monitoring • The Real Time Airport principles shall be extended as a key enabler in DA‟s growth strategy

Notas do Editor

  1. If we cannot react and manage, then there is little point in measuring.
  2. Use examples of poor management where queues are not long but flowrates are poor.When we KNOW it is busy, we are often processing at high rates and managing well!
  3. Use examples from the Oil and Gas Industry40,000 measurement points in a process plantA requirement to identify the underlying reason for plant failure