Operations Research in the Airline Industry / Edition 1

by Gang Yu

Overview

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

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

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.

Editorial Reviews

The complexity of the airline industry<-->especially since its 1978 deregulation<-->is now matched by computer sophistication in solving large-scale, real-time problems. In 15 articles, 31 high-flying global contributors highlight recent advances in optimization techniques and decision support systems applications in the fiercely competitive air transportation industry. Operations research topics include: demand forecasting models, revenue management via neural networks, airline schedule planning, integrated scheduling, crew rostering, network design, route planning, real-time crew management, airport traffic stimulation, and coping with the FAA's traffic control programs. Includes graphics. Annotation c. by Book News, Inc., Portland, Or.

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