Operations Research in the Airline Industry

Author:   Gang Yu
Publisher:   Springer
Edition:   1998 ed.
Volume:   9
ISBN:  

9780792380399


Pages:   473
Publication Date:   31 December 1997
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
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Operations Research in the Airline Industry


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Overview

The field of operations research has had a tremendous impact on the management of today's air transportation. Driven by enormous demand from management to gain a competitive advantage in the market, airlines are turning to advanced optimization techniques to develop mission-critical decision support systems for management and control of airline operations. The purpose of this text is to show some recent advances in optimization techniques and decision support systems applications in air transportation. The book covers a wide variety of operations research topics in the air transportation industry including: demand forecasting; network design; revenue management; route planning; airline schedule planning; irregular operations aircraft routing; integrated scheduling; real-time crew management; crew pairing optimization; air traffic flow management; crew rostering; airport traffic simulation and control; and coping with the FAA's traffic control programme.

Full Product Details

Author:   Gang Yu
Publisher:   Springer
Imprint:   Springer
Edition:   1998 ed.
Volume:   9
Dimensions:   Width: 15.50cm , Height: 2.60cm , Length: 23.50cm
Weight:   1.930kg
ISBN:  

9780792380399


ISBN 10:   0792380398
Pages:   473
Publication Date:   31 December 1997
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

1 Models and Methods for Managing Airline Irregular Operations.- 2 A Large-Scale Neural Network for Airline Forecasting in Revenue Management.- 3 A Tutorial on Optimization in The Context of Perishable-Asset Revenue Management Problems for The Airline Industry.- 4 A Selective Multicommodity Network Flow Algorithm for Air Traffic Control.- 5 A Method for Optimally Solving The Rostering Problem.- 6 An Approach for Just-in-Time Airline Scheduling.- 7 Aircraft Ground Movement Simulation.- 8 Crew Pairing Optimization.- 9 A Decision Support Framework for Crew Management During Airline irregular Operations.- 10 The Use Of Optimization to Perform Air Traffic Flow Management.- 11 The Processes of Airline System Operations Control.- 12 The Complex Configuration Model.- 13 Integrated Airline Schedule Planning.- 14 Airline Schedule Perturbation Problem: Landing and Takeoff with Nonsplitable Resource for The Ground Delay Program.- 15 Airline Schedule Perturbation Problem: Ground Delay Program with Splitable Resources.

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