Improving Aircraft Turnaround Reliability

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    Improving Aircraft Turnaround

    Reliability

    Dr Richard Wu

    Department of AviationUniversity of New South Wales

    Sydney, Australia

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    In this presentation..

    1. Introduction

    Situational awareness Impact on ops control & network

    2. Monitoring A/C T/R on Real-timebasis

    3. The Back-End Agent

    4. Field Tests & Issues

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    Introduction

    1. Situational awarenessIn NOCC (network ops ctl centre)

    YY001

    YY340

    YY120

    YY520

    YY010

    YY877

    YY290

    YY170

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    1. Situational awareness

    At airports: multiple T/Rs at a time

    Start Finish

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    Introduction

    1. Impact on ops control & network

    Improved situational awareness

    For ground handling agents at airports

    For ops controllers

    Look ahead down the line of A/C R/T

    Control upstream delays, so to

    Control delay propagation down the line

    Network reliability

    Take actions before having major delays

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    Monitoring A/C T/R

    1. What if we had: Time stamps of T/R activities of all

    flights & On a real-time basis

    2. We could then: Monitor the progress of multi T/Rs

    Effectively allocate T/R resources Look ahead down the R/T lines of

    all A/C in the network

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    Collecting time stamps

    1. Mobile devices & Wireless Network PDAs (or laptops)

    GPRS (or WiFi)

    2. Web portal for end users

    Web browser

    3. Back-end database & monitoring

    agents MySQL + Java TomCat

    Agent Tom (an in-house sim pkg)

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    A/C T/R Monitoring System

    Database

    Web Server

    TOM

    NOCC

    SDM

    Package

    Y Warning?

    Trigger?

    Trigger?

    S S Sh t

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    Some Screen Shots

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    The Back-End agent- Tom

    1. Airline Network:

    A stochastic complex system

    Real Ops

    Buffered

    Schedule

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    The Back-End agent- Tom

    1. Model complex stochasticops/systems as a network

    2. Statistical analyses generateparameters e.g. delay frequency, delay times, mean

    service times of turnaround ops etc

    3. Monte Carlo simulation

    Run multiple A/C R/Ts in a network Consideruncertainties in ops

    Do scenario analyses

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    Field Tests

    1. ATMS was tested by QF in April2. Off-line mode was tested:

    i.e. real-time monitoring functionsnot activated, because

    The purpose of this trial was tocollect data and test technology

    3. Data transmission: WiFi dropped. Use GPRS instead.

    Real-time transmission to DB

    ome ssues

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    ome ssues1. Unions resistance over monitoring

    2. User training v.s. ATMS interface Training is required

    Difficult to get detailed data using PDA e.g. the cleanness of cabin?

    Not easy to write on PDAs Laptops can overcome this.

    3. What do we want from ATMS?

    Monitor major activities of TR only, orin more detail?

    4. Its all about WHAT data we want and

    HOW we get the data!

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    The Next Steps

    1. Schedule planning v.s. ground ops The same goal: reliable and dependable

    schedule ops

    2. Test draft schedule while planning: Tom takes historical data and runs any

    given schedules: Identify the ops/schedule bottlenecks, so to

    Modify draft schedules (feedback), then

    Re-run the schedule until happy ^_^3. Improve ground ops reliability: Stabilise T/Rs (w/ situational awareness)

    Improve the network-wide ops reliability

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