Accommodating new flights into an existing airline flight schedule

Şafak, Özge; Atamtürk, Alper; Aktürk, M. Seli̇m

doi:10.1016/j.trc.2019.05.010

Cited by 13 publications

(5 citation statements)

References 26 publications

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“…Relating flight speed and flight schedule, Şafak et al 14 propose a model that uses, among other factors, higher cruise speeds to free up time when there is a need to insert unforeseen flights into a pre-defined schedule. In this model, an optimal cruise speed maximizes airline profitability, compensating for financial and environmental costs due to higher speeds.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to Edwards et al 15 , fuel costs accounted for 32% of airlines' global operating expenses in 2014, five times higher than in 2003. For Şafak et al 14 , the importance of this component increases as its price increases, and there is a perception in the airline industry that cruise speed selection has a significant impact on airline profits.…”

Section: Literature Reviewmentioning

confidence: 99%

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An econometric analysis for the determinants of flight speed in the air transport of passengers

Almeida

Oliveira

2023

Sci Rep

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Accurately determining an aircraft's flight speed is crucial for optimizing airline performance, as it directly impacts factors such as fuel consumption and emissions. Flying at speeds higher than what is recommended by the manufacturer can result in increased fuel burn. However, flying at slower speeds may lead to longer flight times and competitive disadvantages for airlines as passengers typically prefer shorter travel times. This study empirically investigates the driving forces in the decision-making process of airlines when setting flight speeds to reduce costs while maintaining the quality of service provided to customers. We develop econometric models of planned flight cruise speed and actual mean flight speed. We analyze a vast amount of data, comprising millions of domestic flights within Brazil. Our results allow for policy recommendations that identify opportunities for improvements in airline flight operations optimization, with implications for the environmental footprint of commercial aviation.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

An econometric analysis for the determinants of flight speed in the air transport of passengers

Almeida

Oliveira

2023

Sci Rep

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“…Kenan et al [6] and Şafak et al [36,37,40] have made significant contributions to solving the FA problem. However, Kenan's study did not detail the costs related to passengers in the model, only considering the delay costs (DC) in the objective function.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrating Flight Scheduling, Fleet Assignment, and Aircraft Routing Problems with Codesharing Agreements under Stochastic Environment

Kızıloğlu,

Sakallı

2023

Aerospace

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Airlines face the imperative of resource management to curtail costs, necessitating the solution of several optimization problems such as flight planning, fleet assignment, aircraft routing, and crew scheduling. These problems present some challenges. The first pertains to the common practice of addressing these problems independently, potentially leading to locally optimal outcomes due to their interconnected nature. The second challenge lies in the inherent uncertainty associated with parameters like demand and non-cruise time. On the other hand, airlines can employ a strategy known as codesharing, wherein they operate shared flights, in order to minimize these challenges. In this study, we introduce a novel mathematical model designed to optimize flight planning, fleet assignment, and aircraft routing decisions concurrently, while accommodating for codesharing. This model is formulated as a three-stage non-linear mixed-integer problem, with stochastic parameters representing the demand and non-cruise time. For smaller-scale problems, optimization software can effectively solve the model. However, as the number of flights increases, conventional software becomes inadequate. Moreover, considering a wide array of scenarios for stochastic parameters leads to more robust results; however, it is not enabled because of the limitations of optimization software. In this work, we introduce two new simulation-based metaheuristic algorithms for solving large-dimensional problems, collectively called “simheuristic.” These algorithms integrate the Monte Carlo simulation technique into Simulated Annealing and Cuckoo Search. We have applied these simheuristic algorithms to various problem samples of different flight sizes and scenarios. The results demonstrate the efficacy of our proposed modeling and solution approaches in efficiently addressing flight scheduling, fleet assignment, and aircraft routing problems within acceptable timeframes.

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“…Facing the problem of resource shortage and flight delay under adverse conditions, although through the expansion of the infrastructure to expand air transport ability is feasible, but tend to cost is higher and the implementation cycle is very long, therefore, the optimization of flight plan management has become the general trend [3], which, as an important restriction factor, managing airport flight schedule optimization is a top priority. Dynamic adjustment and optimization of flight schedule management can not only scientifically allocate flight time, improve the use of airport capacity, avoid congestion caused by unscientific scheduling, but also rationally plan and arrange airport flight time during the recovery period.…”

Section: Introductionmentioning

confidence: 99%

Research and design of flight plan adjustment system based on cooperative decision mechanism

Li¹,

Liu²,

Shen³

et al. 2022

International Conference on Mechanisms and Robotics (ICMAR 2022)

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Recently, with the continuous improvement of living standards and the rapid development of civil aviation industry, more and more people choose convenient and efficient aircraft as a means of travel, and the number of flights increases rapidly. However, in the process of flight operation, it is inevitable to encounter complicated weather, other airspace user activities or air resource flow restrictions, which seriously affect the flight normality and passenger satisfaction. In order to solve such problems, people also put forward higher requirements for flight time resource management. In this paper, based on the collaborative decision-making mechanism, this paper carries out flight plan adjustment through the early predictions, assessment analysis, dynamic update and so on, implementation of passengers, airlines and flights running related units and efficient coordination, make the flight security requirements and Air traffic control, integrated airport security ability to achieve the optimal matching, to ensure flight safety, stable, orderly, and maintain flight release order, Improve the normal rate of flight clearance.

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Accommodating new flights into an existing airline flight schedule

Cited by 13 publications

References 26 publications

An econometric analysis for the determinants of flight speed in the air transport of passengers

An econometric analysis for the determinants of flight speed in the air transport of passengers

Integrating Flight Scheduling, Fleet Assignment, and Aircraft Routing Problems with Codesharing Agreements under Stochastic Environment

Research and design of flight plan adjustment system based on cooperative decision mechanism

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