2015
DOI: 10.1155/2015/783917
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Optimization Model and Algorithm Design for Airline Fleet Planning in a Multiairline Competitive Environment

Abstract: This paper presents a multiobjective mathematical programming model to optimize airline fleet size and structure with consideration of several critical factors severely affecting the fleet planning process. The main purpose of this paper is to reveal how multiairline competitive behaviors impact airline fleet size and structure by enhancing the existing route-based fleet planning model with consideration of the interaction between market share and flight frequency and also by applying the concept of equilibriu… Show more

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Cited by 5 publications
(5 citation statements)
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“…A survey on fleet planning is provided in Baykasoğlu et al (2019), which focuses on single and multi-modal transportation systems. Contexts where fleet sizing is of particular importance include meal delivery (Auad et al, 2020) and airline scheduling (Wang et al, 2015).…”
Section: Review Of Related Literaturementioning
confidence: 99%
“…A survey on fleet planning is provided in Baykasoğlu et al (2019), which focuses on single and multi-modal transportation systems. Contexts where fleet sizing is of particular importance include meal delivery (Auad et al, 2020) and airline scheduling (Wang et al, 2015).…”
Section: Review Of Related Literaturementioning
confidence: 99%
“…In the future, it is possible to combine the examples presented in paper with the use of the method with fuzzy support system for decision-making on safety of rolling stock [11]. A model of optimization and improvement of algorithms for air fleet planning was proposed in [12], and an application of an intelligent algorithm of fuzzy regression in the modeling of freight traffic was proposed in [13]. Improvement of the technology of rolling stock management in railway transport, in work [14] is realized on the basis of an artificial neural network.…”
Section: Example Of the Problem Solutionmentioning
confidence: 99%
“…A decision-making process when planning the required amount of rolling stock is considered to be one of the most problematic issues for transport industry. Paper [8] devel-oped a new approach to determining the size of the fleet in air transportation using the Monte Carlo modeling method. By using this method, an airline gains maximal profits.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%