Low-carbon airline fleet assignment: A compromise approach

Ma, Qiuzhuo; Song, H.; Zhu, Wenbin

doi:10.1016/j.jairtraman.2017.04.005

Cited by 19 publications

(10 citation statements)

References 34 publications

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“…(Birolini et al 2021) discussed the integrated flight scheduling and fleet assignment problem involving improved supply-demand interaction. (Ma et al 2018) addressed the issue of airline fleet assignment that considers the cost of emissions. (Dožić et al 2019) used variable neighborhood search to simultaneously solve the fleet sizing and the fleet assignment problem.…”

Section: Literature Surveymentioning

confidence: 99%

Synchronization and Optimization of Arrival and Departure Flights in Hub Airports and Airline Companies

Demir

Derviş

2022

Preprint

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With an annual passenger capacity of more than 4 billion and a rapidly increasing number, air transport is the undisputed leader among other travel options for long-distance traveling. There are unique airline connections between more than 20 thousand cities in the world. Despite this, many passengers fly via connecting as there are no direct flights from many cities to many cities or because direct flights are sometimes not economical or common. Since passengers do not like to wait in transfers, passengers are lost to other flights and airline companies if the airline does not have a suitable flight at the appropriate time for the transfer. Arrival and departure synchronization is vital at major hub airports and major airlines. In this study, the synchronization of arrival and departure flights is solved for Istanbul airport, an important hub airport worldwide, using data from a prominent airline company. Three metaheuristic methods, Evolutionary Strategies (ES), Modified Discrete Particle Swarm Optimization (MDPSO), and Random Search (RS) were used, and the results were compared with the original plan (OP). ES and MDPSO were found to be promising solution methods, and they provided substantially increased acquired passengers during connecting flights.

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Section: Literature Surveymentioning

confidence: 99%

Synchronization and Optimization of Arrival and Departure Flights in Hub Airports and Airline Companies

Demir

Derviş

2022

Preprint

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“…In terms of airline industry, some green airlines studies focused on reporting the effective strategic process-oriented practices such as fleet assignment (e.g. Ma et al, 2018), aircraft utilization rate and efficiency determinants (e.g. Liu et al, 2017;Joo and Fowler, 2014;Malhotra, 2012), fuel consumption (Brueckner and Abreu, 2017;Liu et al, 2017), aircraft weight (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Blanca-Alcubilla et al, 2019) and between carbon emissions, fuel efficiency and profitability (e.g. Ma et al, 2018). Some studies investigated only the relationship between actions (e.g.…”

Section: Airlines Green Actions/indicators: Classification and Relationshipmentioning

confidence: 99%

A novel technique for evaluating and ranking green airlines: benchmarking-base comparison

Alkhatib

Migdadi

2020

MEQ

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PurposeThis study aims to evaluate and rank green airlines by proposing a novel approach that integrates different multi-criteria decision-making (MCDM) techniques.Design/methodology/approachThree MCDM techniques were adopted: Decision-Making Trial and Evaluation Laboratory (DEMATEL) addressed the impact relationships between Airline Green Operations (AGOs) and classified them into cause and effect; analytical hierarchy process (AHP) prioritized these actions and found their global and local weights; and Techniques to Order Preferences by Similarity to Ideal Solution (TOPSIS) used the weighted actions to evaluate and rank 20 green airlines as a case study.FindingsDEMATEL outcomes provide the first AGOs impact relationships map (IRM), classify AGOs into cause and effect actions and provide better understanding how these green operations affect each other. According to the AHP outcomes, “GHG1and fuel” and “GHG2 and Energy” were the most important set of actions, respectively. Finally, a new evaluation and ranking for 20 green airlines has been presented.Practical implicationsThe AGOs IRM provides a better understanding of the airline green operations and how they affect each other. The new evaluation and ranking technique helps airlines to identify their green strength and weakness areas and supports their sustainability processes.Originality/valueThe increasing importance of AGOs evaluation and analysis highlights the importance of green airlines studies like this one. This study analyzed AGOs, their impact relationships, developed their IRM and provided a new worldwide green airline benchmarking base.

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“…Deterministic linear programming (DLP) used for the historical development to overbooking and the consideration of flexible products as well as further applications [11]. The multi-criteria method used to solve the fleet assignment problem by minimizing the emission cost or maximizing the profit as an objective function [12]. Some of researchers use data of 22 aircraft types from 15 major US airlines to prototype the financial and operating data as an optimize aircraft selection [13].…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization for airlines fleet assignment

Abouzeid

Eldin

Razek

2021

IJEECS

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Airline fleet assignment is the process of assigning aircraft types to scheduled flight legs in order to minimize operating cost and achieve maximize revenue, while satisfying a set of constraints. This paper formulate the fleet assignment problem for airlines that optimization goal is to minimize the total assignment cost. Particle swarm optimization proposed to solve this model. The model successfully applied to Egyptair airline dataset using the particle swarm optimization and mixed integer programming. The proposed method compared with mixed integer programming and current Egyptair assignment methodology. The results showed that the particle swarm optimization is the best method for the Egyptair fleet assignment process. The solution quality is better than mixed integer programming and Egyptair assignment methodology where we saw a daily cost reduction with a percentage of 14.6% and 19.3% respectively.

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Low-carbon airline fleet assignment: A compromise approach

Cited by 19 publications

References 34 publications

Synchronization and Optimization of Arrival and Departure Flights in Hub Airports and Airline Companies

Synchronization and Optimization of Arrival and Departure Flights in Hub Airports and Airline Companies

A novel technique for evaluating and ranking green airlines: benchmarking-base comparison

Particle swarm optimization for airlines fleet assignment

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