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 +6 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 +4 more sources
Airline disruption management: A literature review and practical challenges
Computers and Operations Research, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
L. K. Hassan +2 more
exaly +5 more sources
Disruption management in the airline industry—Concepts, models and methods [PDF]
Computers and Operations Research, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jesper Larsen +2 more
exaly +2 more sources
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
exaly +5 more sources
Airline disruption management—Perspectives, experiences and outlook [PDF]
Journal of Air Transport Management, 2007 Over the past decade, airlines have become more concerned with developing an optimal flight schedule, with very little slack left to accommodate for any form of variation from the optimal solution. During operation the planned schedules often have to be revised due to disruptions caused by for example severe weather, technical problems and crew ...
Jesper Larsen, Allan Larsen
exaly +2 more sources
Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty
Transportation Science, 2020 Air traffic disruptions result in flight delays, cancellations, passenger misconnections, and ultimately high costs to aviation stakeholders. This paper proposes a jointly reactive and proactive approach to airline disruption management, which optimizes recovery decisions in response to realized disruptions and in anticipation of future disruptions ...
Lavanya Marla, Alexandre Jacquillat
exaly +4 more sources
Disruption management for commercial airlines: methods and results for the ROADEF 2009 Challenge [PDF]
European Journal of Industrial Engineering, 2012 A disruption management problem for commercial airlines has been presented by Amadeus for the ROADEF 2009 Challenge, an international competition organised by the French Operational Research and Decision Support Society (ROADEF). This paper presents this industrial large scale optimisation problem and underlines its difficulties compared to previously ...
Eric Bourreau +2 more
exaly +5 more sources
Airline disruption management: yesterday, today and tomorrow
Transportation Research Procedia, 2017 Abstract Adverse weather conditions, strikes, political reasons and other different causes can impact the long-term success of an airline. An effective Disruption Management System can predict the occurrence of these events and assist by reducing the impact on the operations.
Antonin Kazda
exaly +2 more sources
Evaluation of a Multi-Agent System approach to airline disruption management
Journal of Air Transport Management, 2018 Abstract Each day, airlines face disturbances that disrupt their carefully planned operations. Events like adverse weather conditions, sick crew members, or damaged aircraft often result in delays in the airline's schedule. An airline recovers from such disruptions through the role played by its Airline Operations Control (AOC). A Multi-Agent System (
Henk Blom +2 more
exaly +5 more sources