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The LOSA Archive: The data and how it can be used

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Show how the LOSA Archive is used in the airline world ... Have to be patient while the methodology matures and the Archive grows, but once in place: ... – PowerPoint PPT presentation

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Title: The LOSA Archive: The data and how it can be used


1
The LOSA Archive The data and how it can be used
  • Ashleigh Merritt, Ph.D.
  • The University of Texas Human Factors Research
    Project (UT)
  • 2nd ICAO Global Symposium on Threat and Error
    Management (TEM) and Normal Operations Safety
    Survey (NOSS) in Air Traffic Control
  • 7-8 February 2007

2
Purpose of Presentation
  • Show how the LOSA Archive is used in the airline
    world
  • Show how a similar NOSS Archive could benefit the
    ATC world

3
What is LOSA?
  • Line Operations Safety Audits
  • Forerunner/Prototype for NOSS
  • Normal operations monitoring based on cockpit
    observations of regularly scheduled commercial
    flights
  • Trained expert observers using TEM taxonomy to
    frame, describe, code the flight
  • ICAO Industry best practice for normal
    operations monitoring (ICAO LOSA Manual, Doc
    9803)
  • FAA (FAA Advisory Circular 120-90)

4
TEM in the Airline World
  • Threats Adverse weather, traffic congestion,
    terrain, airport conditions, aircraft
    malfunctions, problems with ground, maintenance,
    dispatch, cabin, and of course.. ATC
  • Errors Handling, automation, systems,
    procedures, briefings, communication
  • Undesired Aircraft States Speed, lateral and
    vertical deviations, unstable approaches,
    incorrect engine/system configurations, taxiway
    incursions

5
The LOSA Archive (Archie)
  • A database maintained and updated by UT
  • Data from airlines who do a LOSA with TLC
  • As of February 2007, data from
  • 30 airline LOSAs (including 4 repeat LOSAs)
  • 6000 regularly scheduled commercial flights
  • 22,000 threats
  • 15,000 errors
  • 2,500 undesired aircraft states

6
LOSA Airlines
7
Archive Three Main Uses
  • Benchmarking
  • Industry Trends
  • Interface with other safety information sources

8
Archive Use 1 Benchmarking
  • Empirical TEM data
  • New form of data - One hand clapping
  • Example Airline X
  • 36 of flights had a mismanaged threat
  • 30 of flights had a mismanaged Handling error
  • 26 of flights had some form of intentional
    noncompliance.
  • Is that good, bad or average?

9
Airline X and the LOSA Archive
  • 36 of flights had a mismanaged threat
  • Average across 30 LOSAs is 34. Range 16-63
  • 30 of flights had a mismanaged Handling error
  • Average is 37. Range 13-88
  • 26 of flights had some form of intentional
    noncompliance.
  • Average is 46. Range 22-90

10
Archive Use 2 Industry Trends
  • Normal Ops monitoring provides important base
    rate information
  • Example Unstable Approaches
  • We know how many incidents/accidents involve an
    unstable approach, but do we know how many
    unstable approaches occur without incident?
  • Average is 5 of flights. Range 0-15 across 30
    LOSAs
  • 10 of UASs are linked to a mismanaged ATC threat

11
ATC Threats in the LOSA Archive
  • Data are based on 2400 Flights (9500 threats)
  • ATC the most common threat
  • ¼ of all threats were ATC threats
  • 10 of all ATC threats were mismanaged by the
    crews
  • In all, 30 of all mismanaged threats were ATC

12
ATC threats
2426 Flights
2349 ATC threats
13
Mismanaged ATC threats
2426 Flights
2349 ATC threats 236 mismanaged
14
ATC threats -gt Crew Errors
2426 Flights
280 errors
236 mismanaged ATC threats
Automation errors (20) wrong MCP/FCU altitude
setting dialed
15
ATC threats -gt Crew Errors -gt UAS
2426 Flights
2 UAS
280 errors
236 mismanaged ATC threats
58 UAS
56 Automation errors
9 UAS
21 UAS
5 UAS
16
ATC threats -gt UAS
2426 Flights
Lateral deviation 17 Speed too high
14 Vertical deviation
10 Unstable Approach 10 Continued Landing
9 Incorrect Automation
configuration 9 Taxiway/runway
incursion 6 Speed
too low 6 Incorrect Aircraft
configuration 5 Other
14
280 errors
236 mismanaged ATC threats
106 UAS
Bottom line 4 of flights had a UAS arising
from an ATC threat that was mismanaged. ¾
occurred during descent/approach/land
17
Archive Use 2 Industry Trends What does
Noncompliance signify?
  • Has to meet one of three conditions to be coded
    as intentional noncompliance in LOSA
  • Committed multiple times during one phase of
    flight (e.g., missing multiple altitude callouts
    during descent). (coded as one intentional
    noncompliance error)
  • Crew openly discusses they are intentionally
    committing an action that is against published
    SOP
  • Observer determines the crew is time-optimizing
    SOP when time is otherwise available (i.e.,
    performing a checklist from memory)
  • Most errors are coded as unintentional/ honest
    mistakes. If observer is in doubt, error is coded
    as unintentional.

18
Is Noncompliance a Problem?
  • The average (across 30 LOSAs) 46 of flights
    have one or more noncompliance errors
  • Range 22 of flights at one airline to 90 at
    another
  • Most common noncompliance errors
  • checklist performed from memory / nonstandard
    checklist use
  • failure to cross-verify MCP/FCU altitude changes
  • PF makes own MCP/FCU changes when hand-flying
  • Conclusion 1 Noncompliance is just experienced
    pilots taking optimizing shortcuts no big deal

19
Industry Trend What does Noncompliance signify?
  • Across 30 LOSAs, airlines that have higher rates
    of intentional noncompliance also have higher
    rates of
  • Mismanaged threats (r .60)
  • Mismanaged errors - handling (r .81)
  • Mismanaged errors - procedural (r .80)
  • Undesired aircraft states UAS (r .81)
  • Mismanaged UASs (r .73)
  • Conclusion 2 Increased noncompliance decreases
    safety margins Noncompliance reflects the safety
    culture

20
Archive Use 3 Interface with other safety
information sources
  • Queries from / data-sharing with
  • Airlines
  • Incident Reporting systems
  • IATA/ICAO (ITA)
  • Transport Safety Boards
  • Boeing
  • ATC (NOSS Archive?)

21
And so - a NOSS Archive?
  • Have to be patient while the methodology matures
    and the Archive grows, but once in place
  • You can benchmark within and across facilities to
    determine strengths and vulnerabilities
  • You can trend to determine industry best
    practices problems
  • A TEM-based NOSS Archive would allow ATC to
    converse freely with the LOSA Archive on
    matters of mutual interest to pilots and
    controllers

22
  • The University of Texas
  • Human Factors Research Project
  • www.psy.utexas.edu/HumanFactors
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