Operations research in the airline industry
Author(s)
Bibliographic Information
Operations research in the airline industry
(International series in operations research & management science, 9)
Kluwer Academic Publishers, c1998
Available at 11 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
260 2 Crew Legalities and Crew Pairing Repair 264 3 Model and Mathematical Formulation 266 4 Solution Methodology 271 5 Computational Experiences 277 6 Conclusion 285 REFERENCES 286 10 THE USE OF OPTIMIZATION TO PERFORM AIR TRAFFIC FLOW MANAGEMENT Kenneth Lindsay, E. Andrew Boyd, George Booth, and Charles Harvey 287 1 Introduction 288 2 The Traffic Flow Management (TFM) Problem 289 3 Recent TFM Optimization Models 292 4 The Time Assignment Model (TAM) 302 5 Summary and Conclusions 307 REFERENCES 309 11 THE PROCESSES OF AIRLINE SYSTEM OPERATIONS CONTROL Seth C. Grandeau, Michael D. Clarke, and Dennis F.X. Mathaisel 312 1 Introduction 313 2 The Four Phases of Airline Schedule Development 315 The Airline Operations Control Center (OCC) 3 320 4 Analysis of Operational Problems 331 5 Areas For Improvement 352 6 Case Study: PT Garuda Indonesia Airlines 357 REFERENCES 368 12 THE COMPLEX CONFIGURATION MODEL Bruce W. Patty and Jim Diamond 370 1 Introduction 370 Problem Description 2 371 Problem Formulation 3 375 4 Model Implementation 379 ix Contents 383 5 Summary REFERENCES 383 13 INTEGRATED AIRLINE SCHEDULE PLANNING Cynthia Barnhart, Fang Lu, and Rajesh Shenoi 384 1 Introduction 385 2 Fleet Assignment and Crew Pairing Problems: Existing M- els and Algorithms 388 3 An Integrated Approximate Fleet Assignment and Crew Pa- ing Model 393 4 An Advanced Integrated Solution Approach 395 5 Case Study 396 6 Conclusions and Future Research Directions 399 REFERENCES 401 14 AIRLINE SCHEDULE PERTURBATION PROBLEM: LANDING AND TAKEOFF WITH
Table of Contents
- Preface. 1. Models and Methods for Managing Airline Irregular Operations
- M.F. Arguello, 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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