ISBN-10:
0792380398
ISBN-13:
9780792380399
Pub. Date:
12/31/1997
Publisher:
Springer US
Operations Research in the Airline Industry / Edition 1

Operations Research in the Airline Industry / Edition 1

by Gang Yu

Hardcover

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Overview

Operations Research in the Airline Industry / Edition 1

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 Operations Research in the Airlines Industry is to show some recent advances in optimization techniques and decision support systems applications in air transportation. It 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
  • Coping with the FAA's traffic control program.

Product Details

ISBN-13: 9780792380399
Publisher: Springer US
Publication date: 12/31/1997
Series: International Series in Operations Research & Management Science , #9
Edition description: 1998
Pages: 473
Product dimensions: 6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Preface. 1. Models and Methods for Managing Airline Irregular Operations; M.F. Argüello, et al. 2. A Large-Scale Neural Network for Airline Forecasting in Revenue Management; Xiaoyun Sun, et al. 3. A Tutorial on Optimization in the Context of Perishable-Asset Revenue Management Problems for the Airline Industry; L.R. Weatherford. 4. A Selective Multicommodity Network Flow Algorithm for Air Traffic Control; M.P. Helm. 5. A Method for Optimally Solving the Rostering Problem; M. Gamache, F. Soumis. 6. An Approach for Just-in-Time Airline Scheduling; I. Gershkoff. 7. Aircraft Ground Movement Simulation; D.F.X. Mathaisel, H. Idris. 8. Crew Pairing Optimization; E. Andersson, et al. 9. A Decision Support Framework for Crew Management During Airline Irregular Operations; M. Song, et al. 10. The Use of Optimization to Perform Air Traffic Flow Management; K. Lindsay, et al. 11. The Processes of Airline System Operations Control; S.C. Grandeau, et al. 12. The Complex Configuration Model; B.W. Patty, J. Diamond. 13. Integrated Airline Schedule Planning; C. Barnhart, et al. 14. Airline Schedule Perturbation Problem: Landing and Takeoff With Nonsplitable Resource for the Ground Delay Program; Songjun Luo, Gang Yu. 15. Airline Schedule Perturbation Problem: Ground Delay Program with Splitable Resources; Songjun Luo, Gang Yu. Index.

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