Results 1 to 10 of about 71 (67)
Exploratory data analysis for airline disruption management
Machine Learning with Applications, 2021 Reliable platforms for data collation during airline schedule operations have significantly increased the quality and quantity of available information for effectively managing airline schedule disruptions.
Kolawole Ogunsina +2 more
doaj +3 more sources
Airline Disruption Management: A Review of Models and Solution Methods
Engineering, 2021 The normal operation of aircraft and flights can be affected by various unpredictable factors, such as severe weather, airport closure, and corrective maintenance, leading to disruption of the planned schedule.
Yi Su +5 more
doaj +2 more sources
Artificial Neural Network Modeling for Airline Disruption Management [PDF]
Journal of Aerospace Information Systems, 2022 Published in Journal of Aerospace Information ...
Kolawole Ogunsina, Wendy A. Okolo
openaire +2 more sources
Airline disruption management: A literature review and practical challenges
Computers & Operations Research, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
L. K. Hassan +2 more
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A new approach for disruption management in airline operations control [PDF]
AI Matters, 2014 As a sequel of a recent Ph.D. thesis at the University of Porto and LIACC research lab, a new book appeared at Springer, Series: Studies in Computational Intelligence, Vol. 562, 2014, XII, 242 p., entitled A New Approach for Disruption Management in Airline Operations Control by Antonio J. M. Castro, Ana Paula Rocha,
António J. M. Castro +2 more
openaire +4 more sources
Disruption management in the airline industry—Concepts, models and methods [PDF]
Computers & Operations Research, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jens Clausen +3 more
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Enabling integration and interaction for decentralized artificial intelligence in airline disruption management [PDF]
Engineering Applications of Artificial Intelligence, 2022 Accepted by Elsevier Journal of Engineering Applications of Artificial ...
Kolawole Ogunsina, Daniel DeLaurentis
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source