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Operations Research in the Airline Industry

  • Book
  • © 1998

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Editors:
  1. Gang Yu

    1. University of Texas at Austin, Austin, USA

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Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 9)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xix
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  2. Models and Methods for Managing Airline Irregular Operations

    • Michael F. Argüello, Jonathan F. Bard, Gang Yu
    Pages 1-45

  3. A Large-Scale Neural Network for Airline Forecasting in Revenue Management

    • Xiaoyun Sherry Sun, Erik Brauner, Sharon Hormby
    Pages 46-67

  4. A Tutorial on Optimization in the Context of Perishable-Asset Revenue Management Problems for the Airline Industry

    • Lawrence R. Weatherford
    Pages 68-100

  5. A Selective Multicommodity Network Flow Algorithm for Air Traffic Control

    • Marcia P. Helme
    Pages 101-123

  6. A Method for Optimally Solving the Rostering Problem

    • Michel Gamache, François Soumis
    Pages 124-157

  7. An Approach for Just-in-Time Airline Scheduling

    • Ira Gershkoff
    Pages 158-188

  8. Aircraft Ground Movement Simulation

    • Dennis F. X. Mathaisel, Husni Idris
    Pages 189-227

  9. Crew Pairing Optimization

    • Erik Andersson, Efthymios Housos, Niklas Kohl, Dag Wedelin
    Pages 228-258

  10. A Decision Support Framework for Crew Management During Airline Irregular Operations

    • Mark Song, Guo Wei, Gang Yu
    Pages 259-286

  11. The Use of Optimization to Perform Air Traffic Flow Management

    • Kenneth Lindsay, E. Andrew Boyd, George Booth, Charles Harvey
    Pages 287-311

  12. The Processes of Airline System Operations Control

    • Seth C. Grandeau, Michael D. Clarke, Dennis F. X. Mathaisel
    Pages 312-369

  13. The Complex Configuration Model

    • Bruce W. Patty, Jim Diamond
    Pages 370-383

  14. Integrated Airline Schedule Planning

    • Cynthia Barnhart, Fang Lu, Rajesh Shenoi
    Pages 384-403

  15. Airline Schedule Perturbation Problem: Landing and Takeoff with Nonsplitable Resource for the Ground Delay Program

    • Songjun Luo, Gang Yu
    Pages 404-432

  16. Airline Schedule Perturbation Problem: Ground Delay Program with Splitable Resources

    • Songjun Luo, Gang Yu
    Pages 433-460

  17. Back Matter

    Pages 461-473
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About this book

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

Editors and Affiliations

  • University of Texas at Austin, Austin, USA

    Gang Yu

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