| Document Type
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BL
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| Record Number
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728822
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| Doc. No
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b548575
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| Main Entry
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edited by Gang Yu.
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| Title & Author
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Operations Research in the Airline Industry\ edited by Gang Yu.
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| Publication Statement
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Boston, MA: Springer US, 1998
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| Series Statement
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International series in operations research & management science, 9.
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| Page. NO
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(xix, 473 pages)
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| ISBN
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1461555019
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: 9781461555018
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| Contents
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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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| Abstract
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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.
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| Subject
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Economics.
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| Subject
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Mathematical optimization.
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| Subject
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Operations research.
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| LC Classification
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HE9781.E358 1998
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| Added Entry
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Gang Yu
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