Optimal dispatching strategy on an airline network after a schedule perturbation

Teodorović, Dušan; Guberinic, Slobodan

doi:10.1016/0377-2217(84)90207-8

Cited by 171 publications

(55 citation statements)

References 2 publications

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“…In their paper [39] often one or more aircraft are unavailable and the objective is to minimize the total passenger delays by reassigning flights and retiming flights. The model is fundamentally a network-model with additional constraints.…”

Section: Aircraft Recoverymentioning

confidence: 99%

Airline disruption management—Perspectives, experiences and outlook

Kohl¹,

Larsen

et al. 2007

Journal of Air Transport Management

208

130

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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 sickness. Thus, the field of Airline Disruption Management has emerged within the past few years. The increased focus on cutting cost at the major airlines has intensified the interest in the development of new and cost efficient methods to handle airline disruptions.The purpose of this paper is twofold. In the first part it offers an introduction to airline disruption management, provides the readers with a description of the planning processes and delivers a detailed overview of the numerous aspects of airline disruption management. In the second part we report on experiences from a large research and development project on airline disruption management. Within the project the first prototype of a multiple resource decision support system at the operations control center in a major airline, has been implemented.

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Section: Aircraft Recoverymentioning

confidence: 99%

Airline disruption management—Perspectives, experiences and outlook

Kohl¹,

Larsen

et al. 2007

Journal of Air Transport Management

208

130

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“…Teodorovic and Guberinic were among the first to study the aircraft recovery problem in "Optimal Dispatching Strategy on an Airline Network after a Schedule Pertubation" [43] from 1984. Here, one or more aircraft are unavailable and the objective is to minimize the total passenger delays by reassigning and retiming the flights.…”

Section: Aircraft Recoverymentioning

confidence: 99%

Disruption management in the airline industry—Concepts, models and methods

Clausen

Larsen

et al. 2010

Computers & Operations Research

264

118

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The airline industry is notably one of the success stories with respect to the use of optimization based methods and tools in planning. Both in planning of the assignment of available aircraft to flights and in crew scheduling, these methods play a major role.Plans are usually made several months prior to the actual day of operation. As a consequence, changes often occur in the period from the construction of the plan to the day of operation. Optimization tools play an important role also in handling these changes.However, at the day of operation, no planning tool have been able to cope with the complexity of the re-planning given that the time span for proposing a solution is only a few minutes. Numerous suggestions for such subsystems have been put forward, but today no general tool is able to handle aircraft, crew, and passenger concurrently in a single system. Currently, there is a gap between the reality faced in operations control and the decision support offered by the commercial it-systems targeting the recovery process. Though substantial achievements have been made with respect to solution methods, and hardware has become much more powerful, even the most advanced prototype systems for integrated recovery have severe limitations.The current review accounts for the majority of subsystems mentioned in the literature in terms of the sub-problem addressed and the method used in each particular contribution. For each proposed system, also the computational experiments supporting the practical usability of the system is reported.

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“…Teodorovic and Guberinic [142] proposed a graphical model that does not consider flight cancellation and curfew constraints. In the model, all the flights to be rescheduled are nodes x i 's, and all the aircraft to be re-routed are nodes y j 's.…”

Section: Irregular Operations Controlmentioning

confidence: 99%

Optimization Applications in the Airline Industry

Yang

1998

Handbook of Combinatorial Optimization

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Optimal dispatching strategy on an airline network after a schedule perturbation

Cited by 171 publications

References 2 publications

Airline disruption management—Perspectives, experiences and outlook

Airline disruption management—Perspectives, experiences and outlook

Disruption management in the airline industry—Concepts, models and methods

Optimization Applications in the Airline Industry

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