Results 21 to 30 of about 22,863 (217)
Airline disruption management with aircraft swapping and reinforcement learning
, 2018 Managing fleet disruption is essential for an airline to control delay costs. Delays emerging from these disruptions can be manipulated through fleet operations like aircraft swapping. This paper applies machine learning techniques to the disruption problem.
Gabriel Hondet, Luis Delgado, G. Gurtner
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Dynamic passenger recovery model for airline disruption management
, 2017 Thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Mobile Telecommunication and Innovation at (MSc.MTI) at Strathmore University Airline operations experience schedule disruptions every day. These schedule disruptions require intervention from the airline operations controllers through schedule recovery ...
Almodad Muendo Mutinda
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Disruption management in the airline industry
, 2015 The first point of the study purpose is taken into account in the second and third chapter of this work. It helps to create the ground of the successive argument and it also shows the main problem that could generate a delays or a disruptions in the airline industry.
Carlotta Mariani
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US2014: A Large-Scale Benchmark For Airline Disruption Management
, 2016 Omer Barkol +4 more
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Dynamic Airline Disruption Management Under Airport Operating Uncertainty
SSRN Electronic Journal, 2017 Jane Lee +2 more
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The aircraft recovery problem: A systematic literature review
EURO Journal on Transportation and Logistics, 2023 Events that cause disruptions to air company flight schedules transporting passengers and cargo are commonplace in practice, and their operational and financial consequences are often relevant.
Mateus Santana +3 more
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Risk Factor Disclosures in the US Airline Industry Following the COVID-19 Pandemic
Risks, 2023 This study examines how airlines in the United States report risk at a difficult and uncertain time as a result of the COVID-19 pandemic. The fundamental differences between the years 2019 and 2020 are identified using Leximancer, which is used to locate
Daniela Penela, Miguel Palma
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Aerospace, 2022 Drones are becoming increasingly popular not only for recreational purposes but also in a variety of applications in engineering, disaster management, logistics, securing airports, and others. In addition to their useful applications, an alarming concern
Farhad Samadzadegan +3 more
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Evaluating air traffic flow management in a collaborative decision-making environment [PDF]
, 2010 The collaborative decision-making (CDM) framework introduced into ground delay programs in the late 1990s is an integral component of FAA's traffic flow management (TFM) procedures.
Barnhart C. +4 more
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