Quantitative Risk Management
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Quantitative Risk Management 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben SeiteCpt 1. ManfredDeutsche Mueller Lufthansa AG Head of Flight Safety Research Lufthansa AG Lecturer on Risk Management, Univ. Bremen SAMSYS - Safety Performance Index (SPI) Quantitative risk assessment and their protective measures in aviation More than 25 University Experts Institute for Production an Logistics GmbH Institute of Aeronautics and Astronautics affiliated institute at the University of Bremen Chair of Flight Guidance & Air Transportation Section Operation / Safety Project Leader Institute of Strategic Management Software Development Institute of Flight System Dynamics Institute of Ergonomics Institute of Mathematics 2 Is flying an „ultra-safe“ system ? 40 years ago driving to the airport was the most dangerous part of an Airline-flight Hull Loss per Million Sectors (1958-2011) 14 12 …last 40 years in Germany: 10 Increase in car-safety ~40 times 8 Increase in flight safety ~4 times 6 4 2 0 1 1960 6 11 16 21 198026 31 36 41 2000 46 51 Risk of driving to the airport in Germany versus an average IATA-Flight (2014) Pfatal car ride: 7,2 x 10e-8 (1 in ~15 Million) Pfatal flight: 0,3 x 10e-6 (1 in ~3 Million) driving to the airport is now 5 times safer than an Ø Airline-Flight 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 6 Deutsche Lufthansa AG >400 cars Why don‘t we see the problems ? The number of all Airline-flights worldwide per year equals the number of car-trips in Germany within 4 hours 6 years of worldwide Airline flights => 1 day car traffic in Germany: ~5 fatalities in cars per day, (without country roads ~2 fatalities daily) 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 8 Deutsche Lufthansa AG Pilot Manager Ship owner Passenger Economical pressure Operational topics after deregulation… every 90 hours one per month How dangerous are various jobs? Number of fatal accidents per 100.000 workers per year fisherman 123 window cleaner 10 seaman 68 garbageman 9 railroad worker 31 farmer 8 scaffold builder 30 construction 8 roofer 25 worker lumberjack 20 crane driver 8 docker 19 chemical worker 8 miner 15 Fireman 7 truck driver 15 policeman 7 canal worker 14 metalworker 6 farm hand 12 painter 6 railroadman 11 soldier 6 roadworker 10 electrician 5 University of Oxford Continental CEO Jeff Smisek (cost saving: worked one year without getting salary) 2010 „Manager of the year“ 2004 bis 2009 „Most Admired Global Airline“ „Highest Ranked Network Airline“ increasing economical pressure Continental Airlines Safety is our top priority: Fligths can stop for extra fuel en route if necessary! Continental Airlines fuel emergencies (less than 30 minutes of fuel!) at Newark Airport 2005: 19 2006: 42 2007: 96 Challenge for Flight Operations in the 21st Century Defining an acceptable level of Safety ALoSP (Limit) measuring the actual Identifying risk level Deviations (Δ) Corrective action(s) ALoSP (Acceptable Level of Safety Performance) How safe should it be? What should be the safety target for an Airline flight? 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 17 Deutsche Lufthansa AG ALoSP (Acceptable Level of Safety Performance) versus Lufthansa accident rate LH: ALoSP 10-8 in average one total loss every ~100 years EU: ALoSP 10-7 in average one total loss every ~10 years IATA-Rate: 0,5 x 10-6 in average one total loss every ~2 years 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 18 Deutsche Lufthansa AG Challenge for Flight Operations in the 21st Century Defining an acceptable level of Safety ALoSP (Limit) measuring the actual Identifying risk level Deviations (Δ) Corrective action(s) How dangerous are various jobs? Number of fatal accidents per 100.000 workers per year fisherman 123 window cleaner 10 seaman 68 garbageman 9 railroad worker 31 farmer 8 scaffold builder 30 construction 8 roofer 25 worker lumberjack 20 crane driver 8 docker 19 chemical worker 8 airline pilot 15 Fireman 7 miner 15 policeman 7 truck driver 15 metalworker 6 canal worker 14 painter 6 farm hand 12 soldier 6 railroadman 11 electrician 5 roadworker 10 University of Oxford How dangerous are various jobs? Number of fatal accidents per 100.000 workers per year fisherman 123 window cleaner 10 cargo pilot 90 garbageman 9 seaman 68 farmer 8 railroad worker 31 construction 8 scaffold builder 30 worker roofer 25 crane driver 8 lumberjack 20 chemical worker 8 docker 19 Fireman 7 miner 15 policeman 7 truck driver 15 metalworker 6 canal worker 14 painter 6 farm hand 12 soldier 6 railroadman 11 electrician 5 roadworker 10 University of Oxford TOP 10 MOST DANGEROUS US-JOBS IN 2010 (with fatal work injury rate) 1. Fishermen 116,0 2. Logging workers 91,9 3. Airplane pilots 70,6 4. Farmers and ranchers 41,4 5. Mining machine operators 38,7 6. Roofers 32,4 7. Sanitation workers 29,8 8. Truck drivers and delivery workers 21,8 9. Industrial machine workers 20,3 10. Police officers 18,0 Why is this accepted by the authorities ? Safety Managemet System (SMS) ICAO DOC 9859 / 01.01.2009: …an Airline has to define an acceptable level of safety (ALoSP) Definition: An acceptable level of safety is a safety level which is acceptable for the respective Airline. (e.g. 10E-5) Do not rely on oversight authorities! LH-Group:1 per month 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 24 Deutsche Lufthansa AG Aviation Accident Statistic Kind of Operation LH-Safety Target Best Practice IATA Ø Risk 10 e-3 10 e-4 10 e-5 10 e-6 10 e-7 10e-8 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 25 Deutsche Lufthansa AG log-scale Aviation Accident Statistic Kind of Operation LH-Safety Target Best Practice IATA Ø Business Risk Glider flying competition 10 e-3 10 e-4 10 e-5 10 e-6 10 e-7 10e-8 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 26 Deutsche Lufthansa AG log-scale Theoretical backgroud STRUCTURE defines RISK Prof. Dr. Franz Porzsolt, Univ. Ulm 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 27 Deutsche Lufthansa AG Status Status T A P B H+ H+ H+ H+ H+ angle deviation < 0,000001° H+ H+ H+ H+ H+ H+ H+ H+ H+ H+ H+ H+ H+ H+ H+ H+ He++ H+ H+ H+ H+ Transition Probability (PT) -8 PT = 10 => He++ H+ + H+ hydrogen nucleus Transition Sunlight for Probability 5 x 107 years 25.07.2016 Bitte diesen Text mit dem Präsentationstitel überschreiben Seite 33 Deutsche Lufthansa AG Quantitative Study Downhill Skiing approx. 8 Mio. skiers in Germany approx. 80 Mio. skiing days per winter TP Skiing Accidents 80.000 severe injuries per winter personal risk 10-3 per skiing day approx. 4 victims daily per skiing area Transition Probability PT Did your car´s safety belt ever save your life? TP ~10% of the audience PT 10e-5: required in 1 out of 100.000 car rides per person: ~500 rides per year: Ø every 200 years Error interval: minimum ONE, maximum less than ALL Technische Universität Berlin Calculation Model Accident Probability Accident Number of flights Incidents correlating Top Event world wide to a Top Event Incident Probability Transition Probability Accident ASR DLH ? Number of flights Lufthansa Incidents DLH SPI corr. to a Top Event Incident Probability Enis Aksu FRA CF Accident Probability DLH Technische Universität Berlin SPI calculation for a specific aircraft Aviation Data Aircraft Manufacturer Provider Accident Database series and event (Airbus) (OAG, Innovata, (AccidentECCAIRS, ASN etc.) Ascend) Probability Probability Incident worldwide Accident worldwide PIW = IW / FW PAW = AW / FW Calculation of worldwide Incidents in specific Incidents Flights Accidents Aircraft Series and Event worldwide worldwide worldwide IW FW AW IW = IA x (FW / FA) x ASF x UCF Source External Transition Airline Safety Probability Factor PT ASF Unreported Cases Factor Incidents in Flights in Accidents in Airline ) UCF Airline Airline (theoretical) ASRIA FA AA = IA x PT Lufthansa ( Probability ProbabilityAccident Incident in Airline Accident in Airline Airline Airline PIA = IA / FA PAA =DLH AA / FA ? (Lufthansa) © Daniel Schoolmann Enis Aksu FRA CF 38 Technische Universität Berlin Incidents correlating to a Top Event Mid Air Collision with TCAS Standard Events ASR Datenbank IATA, ANSP‘s, TCAS-OWN etc. PILOT AIRPROX Top Event TCAS-ATC, ACAS ALERT OTHER PILOT LOSS OF SEPARATION MAC AIRPROX (NO NEAR MIDAIR- TCAS) COLLISIONS TCAS FALSE WARNINGS TCAS NUISANCE OWN TCAS NUISANCE OTHER Enis Aksu FRA CF Technische Universität Berlin Number of TCAS / AIRPROX Events all Lufthansa Fleets 120 111 107 100 99 94 97 80 80 80 60 TCAS-OWN PILOT 61 62 TCAS-ATC,OTHER PILOT 40 AIRPROX (NO TCAS) 20 20 18 19 17 14 10 12 11 8 7 8 67 58 0 3 2 3 2002 2003 2004 2005 2006 2007 2008 2009 2010 Enis Aksu FRA CF Technische Universität Berlin Mid Air Collision Risk 1 Accident 23.260.877 18.609 Honeywell Study -4 8,0 x 10 -5 TP 5,4 x 10 Airline Safety Factor x 2,4 ASR Accident 208 DLH ? ≈ 80 % 729.590 -8 240 SPI = 1,9 x 10 3,3 x 10-4 Enis Aksu FRA CF Accident Probability DLH Evidence Based Risk Management Every Flight is confronted with a number of various threats. The summ of all different threats has to be <10-8. The probability of a single threat has to be significantly lower than10-8. How can we calculate the Total Risk? Technische Universität München Overall Accident Risk of an Airline Flight • Failure Scenarios: , ,…, • Overall Failure Probability1 2 : Pr = Pr = 1 Pr 1 ∪ 2 ∪ ⋯ ∪ Independent Risks: − 1 ∩ 2 ∩ ⋯ ∩ = 1 1 Pr 1 Pr … 1 Pr − −Pr 1 + Pr− +2 Pr( −) Approximation for Aviation≈ Risks1 : Pr2F =⋯Pr + Pr + Pr( ) 1 2 ⋯ LH-ALoSP Risk Addition -8 RG ~ 10 Σ -9 -9 -9 -9 RA ~ 10 RA ~ 10 RA ~ 10 RA ~ 10 Σ e.g.