data analytics applications and challenges in
TRANSCRIPT
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Data analytics applications and challenges in
airline operations
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Workshop ITA – MIT on Big Data Analytics for Air Transportation
August 21st, 2019
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Agenda
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Agenda
Data analytics framework The airline operations environment Some applications... ...and challenges
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Marcelo Soares Leão Flight Operations Engineer Starting September: Coordinator, Safety Investigation
Professional background • Azul Brazilian Airlines 2014 – present • Instituto Tecnológico de Aeronáutica 2010 – present • EMBRAER 2003 – 2009
Education • MSc, Aeronautical and Mechanical Engineering ITA, 2012 • Specialization, Aviation Safety and Continued Airworthiness ITA, 2009 • BEng, Aeronautical Engineering ITA, 2002
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Agenda
Data analytics framework Airline operations environment Some applications... ...and challenges
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Data analytics framework
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1,10 VMCA 1,20 VS § 25.143(h)
Brake Release
VMCG VMCA VEF
Engine Failure
1,05 VMCA VMCG
V1 MIN
∆V pilot recognition and actuation
(~1,5 sec.)
VR
V1 1,05 VMCA V2 @ 35 ft VLOF ≥ 1.10 VMU AEO VLOF ≥ 1.05 VMU OEI
Rotation
VLOF
Liftoff
V2
35 ft
≥
≥ ≥
Rela%on between design speeds for the aircra5 takeoff performance cer%fica%on under the FAA FAR Part 25 – Transport Category
VMU Minimum Unstick Speed VMCG Minimum Control Speed - Ground VMCA Minimum Control Speed - Air VEF Engine Failure Speed V1 RTO Decision Speed (“first action” to stop) VR Rotation Speed VLOF Liftoff Speed V2 Takeoff Safety Speed (One Engine Inoperative)
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Question: what is Data Analytics?
Statistics?
Big Data?
Data Mining?
Machine Learning?
Artificial Intelligence?
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Understanding: methods vs problems
Characterization, description, diagnostics
Optimization, decision making
Prediction, inferences, patterns, trends
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Agenda
Data analytics framework Airline operations environment Some applications... ...and challenges
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Airline operations environment
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Air Transportation Industry Highly capital-intensive Highly technologically advanced
Long life cycle products
High integration levels of systems and processes High complexity levels of systems and processes
Strategic transportation sector
Development strictly related to a broad international context:
agreements regulation certification
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Azul Fleet
ATR 72-600 33 aircraft
EMBRAER 190/195 63 aircraft
AIRBUS A320neo 26 aircraft
AIRBUS A330ceo/neo 9 aircraft
BOEING 737-400 Cargo 2 aircraft
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ATR 72-600 33 aircraft
EMBRAER 190/195 63 aircraft
AIRBUS A320neo 26 aircraft
AIRBUS A330ceo/neo 9 aircraft
BOEING 737-400 Cargo 2 aircraft
Azul Fleet
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ATR 72-600 33 aircraft
EMBRAER 190/195 63 aircraft
AIRBUS A320neo 26 aircraft
AIRBUS A330ceo/neo 9 aircraft
BOEING 737-400 Cargo 2 aircraft
Azul Fleet
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ATR 72-600 33 aircraft
EMBRAER 190/195 63 aircraft
AIRBUS A320neo 26 aircraft
AIRBUS A330ceo/neo 9 aircraft
BOEING 737-400 Cargo 2 aircraft
Azul Fleet
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Azul Fleet
ATR 72-600 33 aircraft
EMBRAER 190/195 63 aircraft
AIRBUS A320neo 26 aircraft
AIRBUS A330ceo/neo 9 aircraft
BOEING 737-400 Cargo 2 aircraft
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The future? Additional aircraft and models
EMBRAER 195 E2
AIRBUS A321neo
AIRBUS A330neo
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EMBRAER 195 E2
AIRBUS A321neo
AIRBUS A330neo
The future? Additional aircraft and models
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EMBRAER 195 E2
AIRBUS A321neo
AIRBUS A330neo
The future? Additional aircraft and models
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Azul Route Map
Different markets Specific airplane model for each market
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Airline Operations Environment
Competitors Customers
Civil Aviation Authorities
Airport Admin
Ground Service Providers
Air Traffic Control
MROs OEMs Equipment Services Systems
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Commercial
Operations
Safety
Interrelated areas of interest
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Commercial
Operations
Safety
Interrelated areas of interest
Network planning Revenue management Pricing and competitive strategies
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Commercial
Operations
Safety
Interrelated areas of interest
Ground operations Flight plan & dispatch: Punctuality vs delays Route / performance optimization Fuel consumption optimization
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Interrelated areas of interest
Safety Management System FOQA/MOQA Human Factors: CRM, FRMS
Commercial
Operations
Safety
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Agenda
Data analytics framework Airline operations environment Some applications... ...and challenges
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Some applications
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Safety SMS - Safety Management System
Safety Policies & Objetives
Safety Assurance
Safety Promotion Safety Risk Management
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Safety FOQA - Flight Operations Quality Assurance MOQA - Maintenance Operations Quality Assurance § Defini'on and monitoring of opera'onal/maintenance “events”
§ Hard landing § Glideslope intercep'on from above § Excessive bank angle § Terrain alert § etc
§ Integra'on with data analysis methods to inves'gate how closely certain parameters correlate with
§ Iden'fica'on of paCerns
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TSB of Canada Avia'on Inves'ga'on Report RWY excursion B737-‐823 N901AN Nov 30 2010
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Safety FRMS - Fatigue Risk Management System FOQA - Flight Operations Quality Assurance § Iden'fica'on and avoidance of flight schedules more likely to fa'gue risk
§ SAFTE – FAST models
§ Applica'on of Machine Learning methods to prescribe fa'gue rule-‐based crew scheduling
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Operations Aircraft turnaround time
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Operations Aircraft turnaround time Punctuality
Flight connections over the network
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Time values affected by airline, airport, service providers prac'ces and opera'ng experience
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Operations Aircraft turnaround time
§ Bridge / stairs posi'oning § Passengers deplane § Galley servicing – FWD § Galley servicing – AFT § Airplane interior services § Passengers boarding § Bridge / stairs removal § Pushback / engines start
§ Maintenance task / check
Punctuality Flight connections over the network
§ FWD baggage / cargo unload § Rear baggage / cargo unload § Time between unloading / loading § FWD baggage / cargo load § AFT baggage / cargo load
§ Fuel service § Potable water service § Toilet service
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Agenda
Data analytics framework Airline operations environment Some applications... ...and challenges
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And Challenges
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At the airport Passenger boarding strategies
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At the airport Passenger boarding strategies
Punctuality Flight connections over the network Passenger comfort
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At the airport Passenger boarding strategies
§ Regula'on compliance: priority boarding for certain passengers § Aircra^ seat configura'on: single class, business etc § Boarding method: bridge, stairs
§ Route characteris'cs: tourism, business (checked baggage vs hand baggage)
§ Passenger profiles: tourism, business (frequent flyer?), same applies to baggage
Punctuality Flight connections over the network Passenger comfort
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Safety Safety Risk Assessment
§ Safety reports repository: AQD
§ Integra'on of quan'ta've and qualita've approaches to risk
Highest safety levels
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Risk Traditional concept: relates the likelihood of an adverse outcome
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Risk Traditional concept: relates the likelihood of an adverse outcome
Probability Severity
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Risk = Probability vs Severity
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Risk
As Low As Reasonably Practical
Intolerable Region
Tolerable Region
Acceptable Region
The risk is unacceptable at any level
The risk is acceptable based on mitigation. Cost benefit analysis is required
The risk is acceptable as it currently stands
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Monitoring and BITs
Redundancy Dissimilarity
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Risk = Probability vs Severity
Applied to technical systems
Monitoring and BITs
Basis of systems safety assessment
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Safety Safety Risk Assessment in an operational context
§ May be complemented by a subjec've perspec've: individual judgement and percep'on
§ How to integrate both perspec'ves?
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Last case!
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Congonhas Airport (SBRJ)
Between 1000/1200 UTC and 2100/0000 UTC shall only be used for those aircra^ which can maintain the minimum final approach speed of 120 KT IAS.
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Thank you!
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Questions?
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