forecasting and managing passenger growth
DESCRIPTION
Andreas Fähndrich, Director Business Development of BEONTRA, a Lockheed Martin company, explains how planning and forecasting can help airports more accurately predict passenger numbers and improve their operations management.TRANSCRIPT
2014 ACI-NA Annual Conference & Exhibition
Solutions Showcase
Forecasting and Managing Passenger Growth
Atlanta, September 9th 2014
Andreas FähndrichDirector Business DevelopmentBEONTRA AG
Page 2 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
The Hockey Stick
Capacity Constraints
Impa
ct o
n D
isru
ptio
ns
Page 3 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
The Perfect StormRecently in the Newspaper
More than 1,000 passengerswaited an hour from 7.30am
on Wednesday morning
Two flights were delayed by15 minutes
Another arrival was20 minutes early
Page 4 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
The Perfect StormRecently in the Newspaper
Page 5 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
BEONTRA Solution „Realtime Forecasting“
Page 6 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
Showcase Realtime ForecastingAt 12:00: Prediction for 15:00 Immigration: Normal Ops
Time Flight Destination Gate Remarks 12:05 KL 1010 London H2
12:15 KL 1673 Barcelona H12
12:30 KL 1603 Rome H5
12:50 KL 1087 Manchester H26
13:15 KL 1843 Vienna H11
13:20 KL 1175 Trondheim H84
13:40 KL 1189 Bogota H23
13:55 KL 1267 Nice H18
14:05 KL 1977 Budapest H23
14:25 KL 1317 Bordeaux H9
14:35 KL 1325 Alesund H41
14:50 KL 1365 Warsaw H8
15:05 KL 0411 Amman H6
15:20 KL 0415 Kuwait H22
15:30 KL 0427 Dubai H11
15:40 KL 0685 Mexico H55
15:55 KL 1115 Aarlanda H9
Flight Arrivals
Page 7 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
30m waiting times atImmigration
Time Flight Destination Gate Remarks12:05 KL 1010 London H2
12:15 KL 1673 Barcelona H12
12:30 KL 1603 Rome H5
12:50 KL 1087 Manchester H26
13:15 KL 1843 Vienna H11
13:20 KL 1175 Trondheim H84
13:40 KL 1189 Bogota H23
13:55 KL 1267 Nice H18
14:05 KL 1977 Budapest H23
14:25 KL 1317 Bordeaux H9
14:35 KL 1325 Alesund H41
14:50 KL 1365 Warsaw H8
15:05 KL 0411 Amman H6
15:20 KL 0415 Kuwait H22
15:30 KL 0427 Dubai H11
15:40 KL 0685 Mexico H55
15:55 KL 1115 Aarlanda H9
Flight Departures
Showcase Realtime ForecastingAt 12:30: INCIDENT BAD WEATHER – Prediction for 16:00
Time Flight Destination Gate Remarks 12:05 KL 1010 London H2 Delay 12:25
12:15 KL 1673 Barcelona H12
12:30 KL 1603 Rome H5 Delay 12:55
12:50 KL 1087 Manchester H26
13:15 KL 1843 Vienna H11 Delay 13:35
13:20 KL 1175 Trondheim H84 Delay 13:50
13:40 KL 1189 Bogota H23
13:55 KL 1267 Nice H18 Delay 14:30
14:05 KL 1977 Budapest H23
14:25 KL 1317 Bordeaux H9 Delay 14:40
14:35 KL 1325 Alesund H41 Delay 15:00
14:50 KL 1365 Warsaw H8
15:05 KL 0411 Amman H6
15:20 KL 0415 Kuwait H22
15:30 KL 0427 Dubai H11
15:40 KL 0685 Mexico H55
15:55 KL 1115 Aarlanda H9
Flight Arrivals
Page 8 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
BEONTRA iPad App
Page 9 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
How to accurately predict passengers numbersbetween the next 30 minutes and the next 30 years?
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
Page 10 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
How to accurately predict passengers numbersbetween the next 30 minutes and the next 30 years?
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
Page 11 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
How to accurately predict passengers numbersbetween the next 30 minutes and the next 30 years?
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
Page 12 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
How to accurately predict passengers numbersbetween the next 30 minutes and the next 30 years?
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
Page 13 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
How will your airspace, airfield,terminals and infrastructure cope?
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
Page 14 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
How will your airspace, airfield,terminals and infrastructure cope?
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
Optimization Potential
Shortfall
Page 15 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
How will your airspace, airfield,terminals and infrastructure cope?
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
Optimization Potential
Shortfall
Page 16 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
Lockheed Martin Global Airports End-to-End Solutions
Strategic Planning
3 years+
Tactical Planning
next season+
Operations Planning
Next days+
OperationalDay Prediction
today
Capacity Planning
Demand Forecasting
Realtime Forecasting
OperationsManagement
PostOperation
BIBilling
Staff Planning
Master PlanForecasting
BudgetForecasting
RetailPlanning
RouteDevelopment
TariffDesign
PassengerTracking
Ressource Managemen
t
CDM
Airline AllocationEvaluation
Page 17 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
What can be achieved with BEONTRA?
CAPEXReductionshandle up to 30% more traffic within the same infrastructure by better utilizing the resources
OPEX Reductionssave up to 150,000 USD per 1m passengers per year
Improved CommercialDwell Timebring happy customers as soon as possible to the airside commercial area
ImprovedPassenger Experience
Page 18 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
Over 50 Airports Worldwide trust in BEONTRA
Page 19 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
Page 20 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
What can be achieved with BEONTRA ?Copenhagen: The Efficient Airport (Skytrax “Best Security” Award 2013)
Reduction in check-in counter demand = 26%~ 20m EUR CAPEX savings
Security per FTE throughput increase 42% in 3 years~ 8m EUR OPEX savings p.a.
Kasper Dybkjær Hounsgaard,Head of Operational and Business
Analysis
“Getting 8.5 million passengers through 100 check-in desks and 19 security tracks requires a little more than ordinary planning.Today we have increased the capacity utilization by almost 30%.”
Mr. Thomas Hoff Anderson,Director Airport Optimization
Page 21 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
ReferencesAMS: Operational Terminal Prediction
“For the increase of passenger
satisfaction, better utilization of
resources and reduction of
operating costs, it is necessary to
act instead of react to expected
passenger flows. With BEONTRA’s
Realtime Forecasting being fed by
different stakeholders we are now
able to do so.” Sandor Verhoeven
Capacity Manager Passenger ServicesAmsterdam Airport Schiphol
Page 22 Solutions Showcase – Forecasting and Managing Passenger Growth09.09.2014
ReferencesBRU: BEONTRA Scenario Planning as Corporate Planning Backbone
“Implementing the BEONTRA Scenario Planning Suite across our organization standardizes the planning procedures and diminishes inconsictencies between traffic, revenue and inverstment planning forecasting.”
Marc-Andre GennartCFO
Brussels Airport
BEONTRAScenario Planning
B strategic
Concept Evaluation
B tactical
LongtermDemand
Forecasting
B capacity
B route development
Master Planning,Project Engineering
Simulation
PlanningSchedules
BusinessPlanning
ShiftPlanning
Stand/GateCheck-in Allocation
RosteringB operational
DailyOperations