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To Fuel or Not to Fuel? Is that the Question?
by
Insua, David Ríos
, Cano, Javier
, Ayra, Eduardo S.
in
air transportation
/ Air travel
/ Aircraft
/ Aircraft accidents & safety
/ Airlines
/ airplanes
/ Airports
/ Alternative fuels
/ Applications and Case Studies
/ Bayesian analysis
/ Case studies
/ Civil aviation
/ cost effectiveness
/ Costs
/ energy costs
/ Energy efficiency
/ Expected utility
/ Flight crews
/ Flight time
/ Fuels
/ Hierarchical models
/ Holding fueling decisions
/ industry
/ Mixture models
/ Operating costs
/ Passengers
/ Refueling
/ Regression metamodel
/ Risk attitude
/ Risk aversion
/ Statistics
/ traffic
2014
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To Fuel or Not to Fuel? Is that the Question?
by
Insua, David Ríos
, Cano, Javier
, Ayra, Eduardo S.
in
air transportation
/ Air travel
/ Aircraft
/ Aircraft accidents & safety
/ Airlines
/ airplanes
/ Airports
/ Alternative fuels
/ Applications and Case Studies
/ Bayesian analysis
/ Case studies
/ Civil aviation
/ cost effectiveness
/ Costs
/ energy costs
/ Energy efficiency
/ Expected utility
/ Flight crews
/ Flight time
/ Fuels
/ Hierarchical models
/ Holding fueling decisions
/ industry
/ Mixture models
/ Operating costs
/ Passengers
/ Refueling
/ Regression metamodel
/ Risk attitude
/ Risk aversion
/ Statistics
/ traffic
2014
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Do you wish to request the book?
To Fuel or Not to Fuel? Is that the Question?
by
Insua, David Ríos
, Cano, Javier
, Ayra, Eduardo S.
in
air transportation
/ Air travel
/ Aircraft
/ Aircraft accidents & safety
/ Airlines
/ airplanes
/ Airports
/ Alternative fuels
/ Applications and Case Studies
/ Bayesian analysis
/ Case studies
/ Civil aviation
/ cost effectiveness
/ Costs
/ energy costs
/ Energy efficiency
/ Expected utility
/ Flight crews
/ Flight time
/ Fuels
/ Hierarchical models
/ Holding fueling decisions
/ industry
/ Mixture models
/ Operating costs
/ Passengers
/ Refueling
/ Regression metamodel
/ Risk attitude
/ Risk aversion
/ Statistics
/ traffic
2014
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Journal Article
To Fuel or Not to Fuel? Is that the Question?
2014
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Overview
According to the International Air Transport Association, the industry fuel bill accounts for more than 25% of the annual airline operating costs. In times of severe economic constraints and increasing fuel costs, air carriers are looking for ways to reduce costs and improve fuel efficiency without putting flight safety into jeopardy. In particular, this is inducing discussions on how much additional fuel to put in a planned route to avoid diverting to an alternate airport due to Air Traffic Flow Management delays. We provide here a general model to support such decisions. We illustrate it with a case study and provide comparison with the current practice, showing the relevance of our approach.
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