Models and Methods for Managing Airline Irregular Operations

Argüello, Michael F.; Bard, Jonathan F.; Yu, Gang

doi:10.1007/978-1-4615-5501-8_1

Cited by 27 publications

(15 citation statements)

References 11 publications

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“…However, as it is demonstrated in [7], this model contains several errors. Lastly, Argüello et al demonstrate a heuristic approach to solving ARP in [8,9]. The method solves realistic examples of ARP effectively.…”

Section: Previous Work On Arpmentioning

confidence: 98%

Disruption Management for an Airline — Rescheduling of Aircraft

Løve¹,

Sørensen²,

Larsen

et al. 2002

Lecture Notes in Computer Science

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Abstract. The Aircraft Recovery Problem (ARP) involves decisions concerning aircraft to flight assignments in situations where unforeseen events have disrupted the existing flight schedule, e.g. bad weather causing flight delays. The aircraft recovery problem aims to recover these flight schedules through a series of reassignments of aircraft to flights, delaying of flights and cancellations of flights. This article demonstrates an effective method to solve ARP. A heuristic is implemented, which is able to generate feasible revised flight schedules of a good quality in less than 10 seconds. This article is a product of the DESCARTES project, a project funded by the European Union between the Technical University of Denmark, British Airways and Carmen (see [1]).

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Section: Previous Work On Arpmentioning

confidence: 98%

Disruption Management for an Airline — Rescheduling of Aircraft

Løve¹,

Sørensen²,

Larsen

et al. 2002

Lecture Notes in Computer Science

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“…In [3,4] Argüello et al [6,7] present a method based on the metaheuristic GRASP (Greedy Randomized Adaptive Search Procedure) to reschedule the aircraft routings during an aircraft shortage. The heuristic is capable of canceling and retiming as well as swapping flights (also between different fleet types).…”

Section: Aircraft Recoverymentioning

confidence: 99%

Airline disruption management—Perspectives, experiences and outlook

Kohl¹,

Larsen

et al. 2007

Journal of Air Transport Management

212

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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“…Equation (6) (i.e., when right-hand side term is 1).Equation (8) ensures that at most one flight gets reassigned to each surplus aircraft s ,and Equation (9) does the same for each recovered aircraft r .Finally,(10) enforces the flow to be bounded by 1,Of course, since the model is a pure network the decision variables will assume values of exactly 0 or 1 as desired.…”

Section: Model Of Fsrp Based Grey Programmingmentioning

confidence: 99%

“…However, as it is demonstrated in [6] , this model contains several errors. Lastly, Arguello et al demonstrate a heuristic approach to solve FSRP in [7,8] . The method solves realistic examples of FSRP effectively.…”

Section: Introductionmentioning

confidence: 99%

Grey programming for irregular flight scheduling

Zhao

Zhu

2007

2007 IEEE International Conference on Grey Systems and Intelligent Services

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This paper represents the application of grey programming in Flights Schedule Recovery Problem (FSRP). The ready time of recovery aircrafts is a grey variable at the beginning of resuming phrase, but few authors considered it. In this paper, a grey programming method is introduced to solve the FSRP. A mathematical model for FSRP including grey parameters is presented and a grey simulation technology based on shortest path algorithm is proposed to get the optimal results. The feasibility and effectiveness of the model and method are verified by the simulation results.

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Models and Methods for Managing Airline Irregular Operations

Cited by 27 publications

References 11 publications

Disruption Management for an Airline — Rescheduling of Aircraft

Disruption Management for an Airline — Rescheduling of Aircraft

Airline disruption management—Perspectives, experiences and outlook

Grey programming for irregular flight scheduling

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