文章基本信息

标题：A Stochastic Programming Model for Integrated Planning of Re-fleeting and Financial Hedging Under Fuel Price and Demand Uncertainty
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作者：M. Naumann ; M. Naumann ; L. Suhl 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：54
页码：47-55
DOI：10.1016/j.sbspro.2012.09.724
语种：English
出版社：Elsevier
摘要：AbstractBecause fuel costs have grown to the largest part of airlines’ expenditures and the fluctuation of fuel prices is very high, airlines have to cope with growing uncertainty. Fleet assignment highly influences the fuel consumption of an airline. But the assignment has to be done under fuel price uncertainty. We present a two-stage stochastic optimization model for re-fleeting under fuel price and demand uncertainty. We show that the optimal fleet assignment depends on the fuel price. As a novelty this re-fleeting model integrates financial hedging to decrease the solutions’ risk. This integrated approach dominates traditional non-integrated planning.
关键词：Fleet assignment;re-fleeting;stochastic programming;jet fuel price uncertainty;demand uncertainty;financial hedging