|
Technical Program
(Based on
submitted abstracts to date*)
These submitted abstracts have been
conditionally accepted for inclusion in the AGIFORS Airline Operations
conference agenda. Final acceptance is contingent on 1) receipt
of complete presentation on/before 07 May 2010, and 2) approval of
presentation content by the AGIFORS technical committee.
Monday - 24 May 2010
Dynamic Cost Index Management in
Flight Planning and Flight Following
Steve Altus - Jeppesen
Cost Index (CI) was introduced as a measure of the ratio of the value
of time to the cost of fuel, to help a Flight Management Computer (FMC)
manage the speed of an aircraft throughout its flight. While the
definition of CI, which directly drives the speeds chosen, assumes a
continuous linear cost of time, actual aircraft operating costs have a
more complex nature, including large discrete costs and rate changes at
specific arrival times. In this presentation, we explore the
source and nature of time-based aircraft operating costs, and propose
using a flight planning system to pick the optimal CI value for a
specific flight, using the latest available information.
Economic Trends and their Likely
Effect on Airline Operations
Beatrice Roloff - M2p Consulting
Where all airlines have been affected by the economic downturn, some
worse than others, the industry as a whole is beginning to look for the
light at the end of the tunnel. Which regions are heading upward, and
which ones are not? What is the industry outlook in terms of passenger
& cargo traffic, and what can we expect from the still volatile
fuel situation? What effect will the current & forecasted economic
situation have on airline operations practices and conditions.
Robust Scheduling to Minimise Delay
Propagation
Richard Wu -
University of New South Wales
To retain a degree of tractability, the airline scheduling problem has
traditionally been sequentially decomposed into various stages (eg.
schedule generation, fleet assignment, aircraft routing, and crew
pairing), with the decisions from one stage imposed upon the decision
making process in subsequent stages. Whilst this approach greatly
simplifies the solution process, it unfortunately fails to capture the
many dependencies between the various stages, most notably between
those of aircraft routing and crew pairing, and how these dependencies
affect the propagation of delays through the flight network. As delays
are commonly transferred between late running aircraft and crew, it is
important that aircraft routing and crew pairing decisions are made
together. The propagated delay may then be accurately estimated to
minimize the overall propagated delay for the network and produce a
robust solution for both aircraft and crew. In this presentation we
outline a new approach to accurately calculate and minimize the cost of
propagated delay, in a framework that integrates aircraft routing and
crew pairing.
Tuesday
- 25 May 2010
Accelerating Operations Control with
Business Intelligence Solutions
Gesine Varfis – Lufthansa Consulting
The development of Operations Control Centers is at crossroads. Best
practice Integrated Operations Control Centers are already challenged
while network carriers still struggle with their legacy systems.
Airlines need to find out how to generate bankable results beyond the
low hanging fruits. Lufthansa Consulting would like to share the latest
trends in how to empower confident, faster and more economic driven
decision making in the area of Operations Control with business
intelligence solutions, performance analytics and forecasting. Moreover
Lufthansa Consulting would like to give an outlook on how future
Operations Control could look like.
Short Term Maintenance Allocation
Sergey Shebalov, Michael Clarke - Sabre Airline Solutions
Short term maintenance allocation is a process of building and
supporting a weekly maintenance schedule for each tail operated by an
airline to ensure its availability. We present a model that
automatically creates an optimal set of maintenance blocks for a given
tail assignment and simultaneously allocates maintenance events to
these blocks so that aircraft utilization, maintenance cost and other
metrics are optimized. We take into account detailed time and location
requirements for multiple maintenance activities and use cycles, flown
hours and calendar days counters for expiration date calculation. We
allow both standalone and repeatable maintenance events. In addition
capacity constraints on parking spaces and man-hours for maintenance
bases are introduced. We test the model on several realistic scenarios
with multiple settings. In the second phase we extend our formulation
to allow overnight aircraft swaps and thus integrate maintenance
allocation with tail assignment. Our results demonstrate significant
benefits of such integration.
Integrating Tail and Gate Assignment
Amy Cohn - University of Michigan
Long-term tail assignment
and gate assignment planning solutions require frequent modification
during daily operations. We consider the problem of a short-term (eg 7
day) rolling horizon under which these plans are updated to recover
from disruptions. Our focus is on models that enable these two problems
(and ultimately the third problem of maintenance planning) to be
integrated in a tractable way, with the goal being to return to
feasibility with as few modifications to the existing plan as possible.
Modifying Lines of Flight for Improved
Robustness
Amy Cohn - University of Michigan
Planned lines-of-flight determine where aircraft are expected to start
and end each day, but these lines are often disrupted over the course
of the day. We propose modifications to the LOFs that increase the
likelihood of being able to reach planned maintenance opportunities
despite these disruptions.
Better decision making by improved
Operations Control Center management tools
George Webster - Lufthansa Systems
Operational
applications that measure the robustness and health of an airlines
operation are improving the situational awareness for operations
controllers. Having a clear picture of how the airline is
performing in a busy multi functional Operations Control Center helps
understand what has happened so far and what may be to come.
Lufthansa Systems has developed a unique and advanced “Integrated
Control Panel” that is used with their Integrated Operations
Control Center Platform. The IOCC Integrated Control Panel
combines the ability to view Key Performance Indicators (KPI’s)
and Key Disruption Indicators (KDI’s) within a single
application. The KPI’s are a measurement of the performance
collected from numerous systems. The KDI’s are indicators
that predict disruption in advance so that the operators can make
adjustment and minimize the negative effects or avoid the pending
situation altogether. The IOCC Integrated Control Panel is one of
the management tools of the IOCC Platform, which allows airlines to
optimize the highly complex and dynamic processes of the day to day
operation where even small disruptions can have significant financial
and operational impacts if not tackled early and in the most efficient
way. When dealing with irregularities such as adverse weather
conditions, hub congestion, crew staffing or technical problems the
IOCC Integrated Control Panel allows the operational controller to see
things from every angle. Even in routine operations having the big
picture leads to better decisions and increased efficiency.
An Optimization Based Approach to Airline
Integrated Recovery
Gustaf Solveling - Georgia Institute of Technology
With 22% of all flights
being delayed and 3% being canceled in the U.S. since 2001, schedule
perturbations are inevitable. Given some time horizon, the recovery
process seeks to repair the flight schedule, aircraft rotations, crew
schedule, and passenger itineraries in a tractable manner. Each
component individually can be difficult to solve, so early research on
irregular operations has studied these problems in isolation and more
recent work has integrated a subset of the four components. We present
an optimization-based approach to the recovery problem and, to the best
of our knowledge, are the first to present computational results on the
fully integrated problem.
Emissions Management
and Impact on Your
Business (Panel Discussion)
Tom Samuel - Sabre Airline
Solutions
Managing and reducing
emissions is environmentally focused that is not
only smart business but also community focused. However
understanding the impact of emissions management in short run is
critical to effectively manage your airlines operations. In this
presentation we will discuss the basics of EU base emissions plans and
how it impacts your business and what you should be planning and
preparing for in next few years.
Wednesday
- 26 May 2010
Large Scale Passenger Reaccomodation
Optimization
Semi Gabteni - Amadeus
Multi-commodity network flow models have been successfully applied to
Passenger Reaccomodation Optimization. However, the state-of-the-art
doesn't provide details on how to cope with the heavy computation
requirements of the related MIP solution methods for large scale
networks. We present an approach based on an original preprocessing
procedure. The resulting reaccomodation engine is successfully combined
to aircraft recovery engines in providing best known solutions to
public aircraft and passenger recovery problems with up to 6,000
flights and 700,000 passengers in less than 5 minutes.
Incorporating fatigue modelling
into optimised pairing and roster
Jim Kenneally - Constraint Technologies International
The CTI fatigue model BSAFR is an enhanced fatigue model that not only
draws upon the literature currently available in this field, but also
incorporates the latest research in genetics and molecular biology.
BSAFR delivers the latest and most pertinent research and development
in this field in a model that can be integrated into Paring and
Rostering applications. CTI has partnered with the Monash Sleep and
Cronobiology Research Group to define and calibrate the model. By
incorporating analysis of fatigue into pairing and rostering
optimisation airlines can operate with an objective measure of fatigue
for each crew member.
The Must, the Best --- Two Different Types
of Rules in Auto Crew Planning
Xianchang Wang - Chengdu Soft-Intelligent Technology
Ltd
In auto crew planning, we find that there are two different kinds of
rules need to be processed in different ways. One is the type of rules,
such as "any crew can only execute maximal of 40 flying hours within
any 7 consecutive days". These rules must be respected. However in real
life, in order to make the crew planning results more reasonable or
more like human made just like our crew scheduler says, there are lots
of other rules, such as "if you arrange crew flying outside his/hew
crew base, he/she should be better to perform flying tasks in
continually 4 days". These rules are better to be respected but allow
exceptions during the process of auto crew planning. Based on our
rule-based platform, we develop an auto-planning system which can
handle these two kinds of rules and can resolve 95% percent of client's
planning tasks under the very high pressure situation that in China,
flying crews are at very high shortage.
Focusing Efficiently on
Disruptions with Advanced Visualization Tools
Luis Alvarez - Lufthansa Systems
The Gantt Chart may be the standard tool for visualising your
operational schedule, but considering the large information traffic
today, it quickly reaches its limits as soon as disruptions occur. The
modern operations controller needs to be on top of the information flow
and focus on those items which help find solutions. An operations
control system should facilitate management by exception and provide
dedicated views for specific problems. In this talk we will explore
various visualisation solutions achieving these goals and discuss their
benefits.
Reducing Roster Generation Effort and
Employee Contract Complexity
Xuehua Lu - Sabre Airline Solutions
When creating an employee roster, how do you ensure you are staffing to
efficiently cover the work tasks while maintaining compliance with your
employee contracts? And, how can you accomplish these two goals while
reducing staff administration time and costs?
Using optimization technologies allows the generation of complex
rosters simultaneously accounting for different level of constraints
such as travel time, task priority, shift types, roster rules, previous
assignments and solution level restrictions to generate efficient, fair
and yet deployable rosters, with the minimum amount of staff
administrative time and effort.
Towards Optimum Hub Operations
Gustaf Solveling - Georgia Institute of Technology
Air traffic control
and traffic flow management in and around major metropolitan airports
have to date been the sole province of air navigation service
providers. We present the architecture for and the components of a tool
suite that can be used to manage the surface and terminal area
operations within the context of an airline's hub operations.
Specifically, utilization of this tool suite will enable optimum
hub-operations.
*
Technical Program is subject to change
Abstract
Submission Process
Complete
the on-line
submission form and submit it directly via the web at www.agifors.org/studygrp/opsctl/2010/present.html
Please
note that it is very important that your abstract provides as much
detail as
possible as to what you will cover in your presentation. We can always
shorten
the final abstract to be published in the conference proceedings.
Abstract
Submission
Deadline: APRIL 30 (extended)
Final
Slides Due: May 07
The
AGIFORS Airline Operations 2010
conference technical program is currently being finalized, for more
information please contact tim.niznik (at)
aa.com or at
817-967-3784.
Please
refer to previous years conference proceedings for a complete listing
of technical talks given in the past at AGIFORS
Airline Operations
meetings.
- 2009
- Montreal,
Canada
- 2008
- Amsterdam,
The Netherlands
- 2007 -
Denver,
Colorado
- 2006 -
Dubai,
United Arab Emirates
- 2005
- Mainz, Germany
- 2004
- Washington, DC
- 2003
- Auckland, New Zealand
- 2002
- Rome, Italy
- 2001
- Ocho Rios, Jamaica
- 2000
- Budapest, Hungary
- 1999
- Istanbul, Turkey
|