A model for aircraft evaluation to support strategic decisions

Bruno, Giuseppe; Esposito, Emilio; Genovese, Andrea

doi:10.1016/j.eswa.2015.02.054

Cited by 52 publications

(25 citation statements)

References 78 publications

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“…Chou et al (2011) found that, assurance and reliability were the important criteria of service quality. Bruno et al (2015) assessment aircraft for supporting of strategic decisions, finding of this paper showed that factor of cabin luggage compartment size in the best factor. Rezaei et al (2014) evaluated and selected the supplier in the airline retail industry, finding of this article indicated that financial stability is significant criteria in supplier selection.…”

Section: Distribution Based On Ahp and Fuzzy-ahpmentioning

confidence: 80%

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

et al. 2015

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The main goal of this review paper is to provide a systematic review of Multiple Criteria Decision-Making (MCDM) techniques in regard to transportation systems problems. This study reviewed a total of 89 papers, published from 1993 to 2015, from 39 high-ranking journals; most of which were related to transportation science and were extracted from the Web of Science and Scopus databases. Papers were classified into 10 main application areas and nine transport infrastructure. Furthermore, papers were categorized based on the author(s) and year, name of the journal in which they were published, technique and approach, author(s) nationality, application area and scope, study purpose, gap and research problem and results and outcome. The results of this study indicated that more papers on MCDM in 2013 than in any other year. AHP and Fuzzy-AHP methods in the individual methods and hybrid MCDM and fuzzy MCDM in the integrated methods were ranked as the first and second methods in use, respectively. The Transportation Research Part A: Policy and Practice was the most significant journal in this study, with 13 publications on the topic. Finally, service quality was ranked as the first application area and airline industry was ranked as the first transport infrastructure that applied MCDM techniques.

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Section: Distribution Based On Ahp and Fuzzy-ahpmentioning

confidence: 80%

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

et al. 2015

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“…We can classify the conducted studies according to the method and the type of aircraft they examined. For example, Even Swaps Method ( Dožić and Kalić, 2013 ), Roskam (1990) five-step approach method ( Harasani, 2006 ), NAIADE Method ( Gomes et al, 2014 ), AHP method ( Dožić and Kalić, 2014 ; Teoh and Khoo, 2015 ), Fuzzy set theory method ( Bruno et al, 2015 ), Fuzzy logic and Even Swaps Method ( Dožić and Kalić, 2015a ), ESM, Regression, Fuzzy logic Method ( Dožić and Kalić, 2015b ), AHP and Fuzzy Set Theory method ( Bruno et al, 2015 ), FAHP and FANP method ( Ozdemir and Basligil, 2016 ), TOPSIS method ( Kiracı and Bakır, 2018b ), AHP, COPRAS and MOORA method ( Kiracı and Bakır, 2018a ) and Linear Physical Programming method ( Ilgın, 2019 ) have all been used for the selection, evaluation or ranking of aircraft types with different specifications and sizes.…”

Section: Literature Reviewmentioning

confidence: 99%

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

Kiracı

Akan

2020

Journal of Air Transport Management

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The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, airlines can increase their chances of achieving their long-term goals. New Multi-Criteria Decision Making (MCDM) methods provide decision-makers with a satisfactory solution for choosing suitable aircraft. Therefore, we focused on the multi-dimensional evaluation and selection of the most suitable commercial aircraft alternatives by using new MCDM method. This article provides decision support to airline planners on the selection of commercial aircraft under uncertainty. In the study, unlike other studies in the literature on aircraft selection, the model presented here uses an Interval Type-2 Fuzzy Analytical Hierarch Process (IT2FAHP) and Interval Type-2 Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (IT2FTOPSIS) hybrid methods. The proposed model for aircraft selection allows commercial airlines to evaluate the aircraft in terms of specific criteria: economic performance, technical performance, and environmental impact, and, as a result, it helps decision makers select appropriate aircraft in an uncertain environment. In addition to use by commercial airlines, the methods in the study can also be applied to the selection of training aircraft, cargo aircraft and military aircraft. Our findings show that the Airbus A321neo is the most suitable commercial aircraft in terms of technical aspects, economic aspects and environmental aspects for airlines.

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“…It can be seen in Figure 3 that the aircraft icons on are the waypoints inserted to avoid collision. The newly inserted waypoint can be determined using (15). A time constant is introduced, without which the safety distance envelope may be violated (i.e., = 0):…”

Section: Spatial Grid Partitioning System and CD Algorithmmentioning

confidence: 99%

“…Each small fixed-wing aircraft must follow its planned fourdimensional (4D) trajectory, which can be defined by a series of sequential waypoints recorded as three-dimensional (3D) spatial information with corresponding timestamps 2 Journal of Advanced Transportation [8][9][10][11][12]. Time and space deviations in one trajectory may affect other 4D trajectories because of the crowded spatiotemporal connectivity between trajectories [13][14][15]. This domino effect makes management very challenging.…”

Section: Introductionmentioning

confidence: 99%

A Causal Model for Safety Assessment Purposes in Opening the Low-Altitude Urban Airspace of Chinese Pilot Cities

Tang

Yang

2018

Journal of Advanced Transportation

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China has been gradually relaxing its ban on the use of low-altitude airspace across the country. To guarantee the high reliability of air traffic management (ATM), conflict detection and conflict resolution (CDR) approaches are indispensable to maintain safe separation between neighbouring small fixed-wing aircraft. In this study, we analyse a temporal and spatial integrated strategy for safety assessment purposes in opening the low-altitude urban airspace of Chinese pilot cities. First, we present a detailed mathematical description of the proposed algorithms based on a spatial grid partitioning system (SGPS). For our system, a conflict detection (CD) algorithm is designed to determine if two trajectories pass through the same grid space within overlapping time windows. A conflict resolution (CR) algorithm integrates a proposed time scheduling-based technique (TST) and vertical change-based technique (VCT), which operate under predetermined basic principles. Then, based on our novel CDR algorithms, a causal model is constructed in graphical modelling and analysis software (GMAS) to generate a state space that can provide a global perspective on scenario dynamics and better understanding of induced conflict occurrences. Finally, simulation results demonstrate that the proposed approach is practical and efficient.

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A model for aircraft evaluation to support strategic decisions

Cited by 52 publications

References 78 publications

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

Multiple Criteria Decision-Making Techniques in Transportation Systems: A Systematic Review of the State of the Art Literature

Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets

A Causal Model for Safety Assessment Purposes in Opening the Low-Altitude Urban Airspace of Chinese Pilot Cities

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