Searched for: subject%3A%22Fleet%255C+Planning%22
(1 - 9 of 9)
document
Correia da Silva Guerra Nunes, Miguel (author)
Airline reserve fleet capacity is a strategic resource that provides airlines the means to add robustness to their schedules. This paper focuses on leveraging past data on airlines' execution of planned schedules (resulting delays, cancellations and missed connections), along with the disruptions that prohibited the flawless execution of the...
master thesis 2024
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Geursen, Isaak L. (author), Santos, Bruno F. (author), Yorke-Smith, N. (author)
Current state-of-the-art airline planning models face computational limitations, restricting the operational applicability to problems of representative sizes. This is particularly the case when considering the uncertainty necessarily associated with the long-term plan of an aircraft fleet. Considering the growing interest in the application of...
journal article 2023
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Billet, Thomas (author)
Fleet planning is a complex problem which consists of selecting an optimal fleet of vehicles at the right moment in time to serve a specific demand while subject to different operational constraints. While Operations Research (OR) has mainly focused on long-term strategical fleet planning optimisation, certain operators such as humanitarian air...
master thesis 2021
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Geursen, Izaak (author)
Current state-of-the-art airline planning models are required to decrease models either in size or complexity due to computational limitations, limiting the <br/>operational applicability to problems of representative sizes. Models return suboptimal solutions, especially when confronted with factors of uncertainty. Considering the growing...
master thesis 2021
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de Koning, Mathias (author)
This work proposes a model-free reinforcement learning approach to learn a long-term fleet planning problem subjected to air-travel demand uncertainty. The aim is to develop a dynamic fleet policy which adapts over time by intermediate assessments of the states. A Deep Q-network is trained to estimate the optimal fleet decisions based on the...
master thesis 2020
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Sa, Constantijn A.A. (author), Santos, Bruno F. (author), Clarke, J.B. (author)
Airlines operate their fleet of aircraft over a relatively long time horizon during which the realized stochastic demand has the potential to profoundly impact the airlines’ financial performance. This makes the investment in a fleet of aircraft a highly capital-intensive long-term commitment, associated with inherent risks. We propose an...
journal article 2020
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Woudenberg, Thijs (author)
Margins for cargo airlines that were already thin have been put further under pressure, which stresses the importance of operating a profitable schedule. Research on modelling passenger operations has proven that integrating different steps in the schedule planning process can yield a significant increase in profit. For cargo operations no...
master thesis 2019
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Requeno García, Laura (author)
This MSc thesis presents a stochastic modelling approach to the multi-period airline fleet planning problem. Approximate Dynamic Programming (ADP) is used to model the impact of demand uncertainty on fleet decisions. The proposed ADP algorithm applies local value function approximations resulting from Gaussian kernel regressions to estimate...
master thesis 2017
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Sa, C.A.A. (author)
The research objective of this thesis is to develop an innovative airline fleet planning concept that is capable to consider the long-term stochastic nature of air travel demand while generating meaningful results in reasonable computation times. The proposed methodology aims to identify robust fleets, in terms of profit generating capability...
master thesis 2016
Searched for: subject%3A%22Fleet%255C+Planning%22
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