A Passenger Recovery Approach for Airline Disruption Management
A Passenger Recovery Approach for Airline Disruption Management

Author: Rodrigo Acuna-Agost

Publisher:

Published: 2015

Total Pages: 0

ISBN-13:

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Airlines constantly face disruptions caused by external or internal factors like extreme weather conditions, unavailability of crew members, aircraft breakdowns, or airspace capacity shortages. These disruptions prevent the execution of the schedule. Significant research has been devoted to both aircraft and crew recovery, but the literature on passenger recovery is rather limited. Given a valid flight schedule and a set of disrupted passengers, the passenger recovery problem consists in reaccommodating passengers to their destinations by minimizing the total recovering costs and the impact on passengers. An integer programming formulation is provided. However, large-scale instances cannot be managed through a straight mathematical program. We develop a novel and powerful network pruning algorithm, which allows a drastic reduction of the integer program size for all cases. The experimentation is performed on real-world size instances based on a large-scale public dataset. The results show the overall effectiveness of the method. On average, the reduced model has less than 1% of the total number of decision variables with solutions near to the optimum. We also provide new best-known solutions on 65% of these instances. Additional experiments also show that the method is efficiently combined with aircraft recovery solution systems.

A New Approach for Disruption Management in Airline Operations Control
A New Approach for Disruption Management in Airline Operations Control

Author: António J. M. Castro

Publisher: Springer

Published: 2014-06-19

Total Pages: 258

ISBN-13: 3662433737

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Most of the research efforts dealing with airline scheduling have been done on off-line plan optimization. However, nowadays, with the increasingly complex and huge traffic at airports, the real challenge is how to react to unexpected events that may cause plan-disruptions, leading to flight delays. Moreover these disruptive events usually affect at least three different dimensions of the situation: the aircraft assigned to the flight, the crew assignment and often forgotten, the passengers’ journey and satisfaction. This book includes answers to this challenge and proposes the use of the Multi-agent System paradigm to rapidly compose a multi-faceted solution to the disruptive event taking into consideration possible preferences of those three key aspects of the problem. Negotiation protocols taking place between agents that are experts in solving the different problem dimensions, combination of different utility functions and not less important, the inclusion of the human in the automatic decision-making loop make MASDIMA, the system described in this book, well suited for real-life plan-disruption management applications.

Disruption Management
Disruption Management

Author: Gang Yu

Publisher: World Scientific

Published: 2004

Total Pages: 313

ISBN-13: 9812561706

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This pioneering book addresses the latest research findings and application results on disruption management, which is the study of how to dynamically recover a predetermined operational plan when various disruptions prevent the original plan from being executed smoothly.

Disruption Recovery in Air Traffic
Disruption Recovery in Air Traffic

Author: Prabhu Manyem

Publisher: Cambridge Scholars Publishing

Published: 2021-05-06

Total Pages: 149

ISBN-13: 152756925X

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Disruptions to commercial airline schedules are frequent and can inflict significant costs. This is the first book to treat the optimisation of disruption management (irregular operations) in air traffic from a common good perspective that addresses the concerns of airlines, airports, air traffic service providers and, most importantly of all, the travelling public. It describes a number of disruption management systems which are already in place at air traffic service (ATC) providers such as Airservices Australia. As such, the book will be of immense value to ATC providers, and will serve as a reference point for planners at airline operations centres who control movements within a 48-hour window. The optimisation techniques described here will also be very useful to academics and postgraduate students in civil aviation and operations research.

The Global Airline Industry
The Global Airline Industry

Author: Peter Belobaba

Publisher: John Wiley & Sons

Published: 2015-07-06

Total Pages: 536

ISBN-13: 1118881141

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Extensively revised and updated edition of the bestselling textbook, provides an overview of recent global airline industry evolution and future challenges Examines the perspectives of the many stakeholders in the global airline industry, including airlines, airports, air traffic services, governments, labor unions, in addition to passengers Describes how these different players have contributed to the evolution of competition in the global airline industry, and the implications for its future evolution Includes many facets of the airline industry not covered elsewhere in any single book, for example, safety and security, labor relations and environmental impacts of aviation Highlights recent developments such as changing airline business models, growth of emerging airlines, plans for modernizing air traffic management, and opportunities offered by new information technologies for ticket distribution Provides detailed data on airline performance and economics updated through 2013

Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty
Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty

Author: Lavanya Marla

Publisher:

Published: 2020

Total Pages: 41

ISBN-13:

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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. The approach forecasts future disruptions partially and probabilistically by estimating systemic delays at hub airports (and the uncertainty thereof) and ignoring other contingent disruptions. It formulates a dynamic stochastic integer programming framework to minimize network-wide expected disruption recovery costs. Specifically, our Stochastic Reactive and Proactive Disruption Management (SRPDM) model combines a stochastic queuing model of airport congestion, a flight planning tool from Boeing/Jeppesen, and an integer programming model of airline disruption recovery. We develop a solution procedure based on look-ahead approximation and sample average approximation, which enables the model's implementation in short computational times. Experimental results show that leveraging even partial and probabilistic estimates of future disruptions can reduce expected recovery costs by 1-2%, as compared to a myopic baseline approach based on realized disruptions alone. These benefits are mainly driven by the deliberate introduction of departure holds to reduce expected fuel costs, flight cancellations and aircraft swaps.

Disruption Management: Framework, Models, And Applications
Disruption Management: Framework, Models, And Applications

Author: Gang Yu

Publisher: World Scientific

Published: 2004-08-26

Total Pages: 313

ISBN-13: 9814481963

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This pioneering book addresses the latest research findings and application results on disruption management, which is the study of how to dynamically recover a predetermined operational plan when various disruptions prevent the original plan from being executed smoothly. A disruption management system will help decision-makers respond to disruptive events in real time so that the cost incurred by the disruption is reduced to a minimum. The impact of such systems is significant. For example, each year the disruption management system for US airlines generates savings of tens of millions of dollars.

A Decision-Support Tool for the Integrated Airline Recovery Using a Machine Learning Resources Selection Approach
A Decision-Support Tool for the Integrated Airline Recovery Using a Machine Learning Resources Selection Approach

Author: Berend Eikelenboom

Publisher:

Published: 2023

Total Pages: 0

ISBN-13:

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Airlines frequently deal with unexpected disruptions, which must be resolved to resume operations. Decision-support tools help airlines with disruption management. However, the computation of an integrated recovery solution considering aircraft, crew, and passengers at the same time is a hard problem to solve, requiring long computational times to compute globally optimal solutions. On the other hand, faster sequential approaches have been proposed, which recover one resource at a time, but these compromise the quality of the recovery solution. This paper presents a real-time decision-support approach to solve the integrated airline recovery problem. The model simultaneously recovers the schedule and allocates aircraft and cockpit crew pairs to the flights while minimizing additional incurred costs. Passengers are implicitly recovered by considering missed connections and prescribing alternative itineraries. Recovery actions include delaying and canceling flights, swapping aircraft, swapping and deadheading crew, or using reserve crew. A machine-learning ranking algorithm reduces the problem's computational complexity by selecting a subset of the resources that are likely to be involved in the recovery plan, such that only part of the network is considered. The decision-support tool was evaluated on disruption scenarios of one of the largest airlines in the world: Delta Airlines. The results show that the machine learning selection reduces the average computational time 15-fold compared to the integrated recovery model that uses the complete network. Good quality aircraft and crew recovery solutions could be computed in under two minutes for 98% of the disruption cases tested.

Airline Operations Control
Airline Operations Control

Author: Peter J. Bruce

Publisher: Routledge

Published: 2020-12-28

Total Pages: 220

ISBN-13: 1351136283

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This text is among the first to reveal the intricacies of an airline’s Operations Control Centre; especially the thought processes, information flows, and strategies taken to mitigate disruptions. Airline Operations Control provides a deep level of description, explanation and detail into the activities of a range of highly professional and expert staff managing the ‘sharp’ end of the airline. It aims to fill a void as little is understood about this area, and very little is written for practitioners in the airline business. The book offers a comprehensive look at the make-up of the Operations Centre, its component sections, and the processes that occur both in preparing for and executing the current day’s schedules. Several chapters provide real-life scenarios and demonstrate how Operations Centres manage evolving situations – what they need to take into account, and how they need to have Plan B and Plan C ready when things don’t go right. This book is designed to deliver knowledge gains to both new and experienced aviation industry practitioners with regards to vital operational aspects. Additionally, it also offers students of air transport management a readily accessible and real-world-perspective guide to a crucial function present within every airline.

Introduction to Aviation Operations Management
Introduction to Aviation Operations Management

Author: Sheikh Imran Ishrat

Publisher: CRC Press

Published: 2023-04-28

Total Pages: 218

ISBN-13: 1351399594

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Airline operations are large, complex, and expensive. Introduction to Aviation Operations Management attempts to systematically present the overall scenario of aviation industry and airline practices. Furthermore, concepts, strategies, and issues prevailing in the aviation industry are addressed through numerous operations management and optimization approaches. The book aims to provide readers with an insight into aviation industry practices with respect to airport management, resource allocation, airline scheduling, disruption management, and sustainability which are significant for day-to-day aviation operations. Features: Presents operations management perspectives in the aviation sector Discusses global scenarios of aviation industry and airline practices Concepts are explained through operations management and optimization approaches Discusses airport management, resource allocation, airline scheduling, and disruption management issues Includes standard practices and issues related to the aviation industry. This book is aimed at senior undergraduate students pursuing programs related to the aviation industry and operations management.