Optimization Applications in the Airline Industry

Gang Yu () and Jian Yang ()
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Gang Yu: The University of Texas at Austin, Department of Management Science and Information Systems and Center for Management of Operations and Logistics
Jian Yang: The University of Texas at Austin, Department of Management Science and Information Systems and Center for Management of Operations and Logistics

A chapter in Handbook of Combinatorial Optimization, 1998, pp 1381-1472 from Springer

Abstract: Abstract The quality of an airline’s product is measured by its timeliness, accuracy, functionality, quality, and price. For the air transportation customers, these criteria translate into flexible schedules, on-time flights, safety, satisfactory in-flight services, proper baggage handling, reasonable prices, and convenient ticket purchases To provide this high-quality, low-cost product, airlines rely on optimization-based decision support systems to generate profitable and cost-effective fare classes, flight schedules, fleet plans, aircraft routes, crew pairings, gate assignments, maintenance schedules, food service plans, training schedules, and baggage handling procedures.

Keywords: Greedy Randomized Adaptive Search Proce; Optimization Application; Crew Schedule; Airline Industry; Delay Cost (search for similar items in EconPapers)
Date: 1998
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DOI: 10.1007/978-1-4613-0303-9_23

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