Relevant bibliographies by topics / Airline Software Applications

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Airline Software Applications'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Airline Software Applications"

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Azzolina, Stefano, Manuel Razza, Kevin Sartiano, and Emanuel Weitschek. "Price Discrimination in the Online Airline Market: An Empirical Study." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 6 (September 9, 2021): 2282–303. http://dx.doi.org/10.3390/jtaer16060126.

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Big Data technologies have significantly increased the possibility for sellers to adopt personalisation strategies, especially in digital markets. Among such strategies, price discrimination, a practice where the same commodity is sold at different prices, either to the same customer or to different customers, stands out. Particularly, the online airline ticket market has risen the attention of economists in recent studies, both because of its specificity and of the high data availability. This manuscript enters the debate and analyses the airline ticket market in an original way. Indeed, the aim of this work is to empirically understand whether some airline companies discriminate in prices by using the customers’ data that they collect from their websites, and, if so, which is the impact on social welfare. For performing this assessment, a software that is able to automatically collect pricing data is developed and freely released. By executing the software in two time periods, tickets prices of three airlines, three itineraries, and four different user profiles are acquired. A double analysis is performed to check if customers’ information are used to discriminate (intra-user), and if different prices are offered to distinct user profiles (inter-user). Moreover, the analyses consider control data collected from the API of the Global Distribution System Amadeus, the main flight booking platform dedicated to travel agents. Upon inspection, no evidence is found in this study to support the hypothesis that airlines use price discrimination techniques.
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Fu, Yan-Kai, Weilun Huang, and Chin-Nung Liao. "The selection model for horizontal alliances between hotels and airlines: an integrated application of NGT, fuzzy TOPSIS and MCGP methods." Tourism Review 75, no. 4 (January 30, 2020): 681–98. http://dx.doi.org/10.1108/tr-06-2019-0214.

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Purpose The purpose of this paper is to evaluate the hotel selection problem of airlines for their hotel and airline alliance (HAA) to develop potential customers of airlines. This paper will propose a hybrid mathematics evaluation model to help airline to select an optimal hotel with both qualitative and quantitative criteria. Design/methodology/approach To solve the hotel selection problem of airlines for their HAA, this paper focuses on the implementation of the NGT, Fuzzy TOPSIS and MCGP models in the hotel selection process. Initially, the NGT was used to create HAA decision-making criteria based on the literature review and expert opinions, and it was found that scale and scope possibility, brand value, tourism attraction, operating cost and industrial conditions are the most important criteria. Later, the Fuzzy TOPSIS method was used to obtain the general normalized fuzzy preference and to compute the closeness coefficients of each alternative hotel with respect to each criterion. Third, five tangible constraints were incorporated into the Fuzzy TOPSIS-MCGP model to calculate the optimal hotel with LINGO software. Findings Airline managers can use the proposed model to form a clear view of how to choose the most suitable hotel to cooperate with to outperform their competitors. Having access to this information allows airline managers to take steps to perform better and improve the performance of the partnership, helping them to gain more confidence in their decision-making capabilities while reducing investment risks. Originality/value This is the first paper that has adopted Fuzzy TOPSIS-MCGP to select hotel for their HAA from the airline’s point of view. The major contributions of this study are as follows: an efficient and simple evaluation framework is proposed for handling vagueness and uncertainty in real-world hotel selection problems; the advancement of treating uncertainty in the MCDM process; the fuzzy TOPSIS-MCGP method is extended for such problems, taking into account tangible and intangible criteria; airline managers can now make decisions in choosing to select the best hotel for their HAA that meets the airline's business goals and passenger demands; hotel operators are flexible in selecting their airline partnership, thus creating greater profit for both parties.
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Makri, Alexandra, and Diego Klabjan. "A New Pricing Scheme for Airline Crew Scheduling." INFORMS Journal on Computing 16, no. 1 (February 2004): 56–67. http://dx.doi.org/10.1287/ijoc.1020.0026.

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Degani, A., and E. L. Wiener. "Procedures in complex systems: the airline cockpit." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 27, no. 3 (May 1997): 302–12. http://dx.doi.org/10.1109/3468.568739.

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Sankaranarayanan, Suresh, and Subramaniam Ganesan. "Applications of Intelligent Agents in Mobile Commerce." International Journal of Agent Technologies and Systems 6, no. 4 (October 2014): 35–71. http://dx.doi.org/10.4018/ijats.2014100103.

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Mobile phone usage and its adoption have been growing at exponential rates. It is this exponential growth rate that has led many to predict Mobile Commerce (M-Commerce) as the next major evolution of Electronic Commerce (E-Commerce). While M-Commerce comes rich with unique features, it is currently lacking in usage when compared to traditional e-commerce. There are many challenges that must be addressed in this respect. These challenges are mostly inherent in the mobile devices, communication network, legal and regulatory infrastructure. The use of agents in e-commerce has long been explored in the context, resulting in a number of agent based e-commerce systems. It is not surprising then to note that many researchers believe that the problems that the M-Commerce now faces can be addressed well using agent technology. While there is an abundance of information on the use of agent based systems in other areas, there has been no great surge yet in the use of agent based systems in real world M-Commerce applications. We believe that this slow adoption of this agent technology is due to a lack of standards. There has been a quite an amount of research work carried out in the use of software intelligent agents in the M-Commerce applications like Shopping, Hotel, and Airline industries. These are outlined in the paper with appropriate screenshots and descriptions.
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Khashman, Aysar Mohammad. "The Impact of Electronic Human Resource Management (E-HRM) Strategies on Organizational Innovation by Knowledge Repository as Mediating Role." International Journal of Web Portals 11, no. 1 (January 2019): 19–38. http://dx.doi.org/10.4018/ijwp.2019010102.

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The current study is intended to provide analysis of the direct and indirect relationships between (E-HRM) strategies and organizational innovation through knowledge repository as a mediation construct. From various previous studies, five (E-HRM) strategies constructs were adopted for this study. These include E- recruitment, e- selection, e-training, e- performance appraisal, and e-compensations, and used the mediating role of a knowledge repository for these constructs to improve organizational innovation. The study applied the smart partial least square (PLS) software to analyse the underlying relationships amongst the most relevant constructs between (E-HRM) strategies, knowledge repositories, and organizational innovation with a total of seven constructs. The results are from top, middle managers (n = 94) working in the Royal Jordanian airline. It was found that there was a strong and statistically positive significant relationship between several (E-HRM) strategies and organizational innovation by using the knowledge repository as a mediation construct.
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Kenett, Ron S. "Bayesian networks: Theory, applications and sensitivity issues." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (March 2017): 1630014. http://dx.doi.org/10.1142/s2425038416300147.

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This chapter is about an important tool in the data science workbench, Bayesian networks (BNs). Data science is about generating information from a given data set using applications of statistical methods. The quality of the information derived from data analysis is dependent on various dimensions, including the communication of results, the ability to translate results into actionable tasks and the capability to integrate various data sources [R. S. Kenett and G. Shmueli, On information quality, J. R. Stat. Soc. A 177(1), 3 (2014).] This paper demonstrates, with three examples, how the application of BNs provides a high level of information quality. It expands the treatment of BNs as a statistical tool and provides a wider scope of statistical analysis that matches current trends in data science. For more examples on deriving high information quality with BNs see [R. S. Kenett and G. Shmueli, Information Quality: The Potential of Data and Analytics to Generate Knowledge (John Wiley and Sons, 2016), www.wiley.com/go/information_quality.] The three examples used in the chapter are complementary in scope. The first example is based on expert opinion assessments of risks in the operation of health care monitoring systems in a hospital environment. The second example is from the monitoring of an open source community and is a data rich application that combines expert opinion, social network analysis and continuous operational variables. The third example is totally data driven and is based on an extensive customer satisfaction survey of airline customers. The first section is an introduction to BNs, Sec. 2 provides a theoretical background on BN. Examples are provided in Sec. 3. Section 4 discusses sensitivity analysis of BNs, Sec. 5 lists a range of software applications implementing BNs. Section 6 concludes the chapter.
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Erdelyi, Alexander, and Huseyin Topaloglu. "A Dynamic Programming Decomposition Method for Making Overbooking Decisions Over an Airline Network." INFORMS Journal on Computing 22, no. 3 (August 2010): 443–56. http://dx.doi.org/10.1287/ijoc.1090.0359.

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Chiu-Hung Chen, Tung-Kuan Liu, and Jyh-Horng Chou. "Integrated Short-Haul Airline Crew Scheduling Using Multiobjective Optimization Genetic Algorithms." IEEE Transactions on Systems, Man, and Cybernetics: Systems 43, no. 5 (September 2013): 1077–90. http://dx.doi.org/10.1109/tsmc.2012.2234943.

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Štimac, Igor, Andrija Vidović, Tomislav Mihetec, and Miroslav Drljača. "Optimization of Airport Capacity Efficiency by Selecting Optimal Aircraft and Airline Business Model." Sustainability 12, no. 10 (May 13, 2020): 3988. http://dx.doi.org/10.3390/su12103988.

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This paper analyses the impact of airline business models on airport infrastructure and operational capacity and answers the question how to optimize capacity in order to achieve maximum efficiency and profitability as well as how to maintain an adequate level of service quality. As part of the research, a new model was created as an integral part of the Airport Management Strategy Software (AMSS) application. The purpose of the application is to enable the airport management to review and optimize operations in terms of maximum technical and technological capacity utilization. In addition, the application can be used to fill the available slots according to the specifics of the airline’s business model without compromising the security, flexibility, and profitability of airport operations. The validation of the application was conducted at Zagreb Airport, which generated traffic of 3.4 million passengers in 2019. The result of the research is a model which, based on the calculation of the existing capacity of the airport infrastructure and ground handling equipment, enables the simulation of new airline business models and aircraft type implementation. Furthermore, the model also analyses their impact on the utilization of the airport infrastructure and equipment. The research demonstrated the interdependence between airport capacity optimization and optimal slot allocation, and the specifics of airline business models and aircraft types in their fleets. By adopting this model, airport managers can prevent mistakes that arise during negotiations with airlines, which can result in the under capacity of the infrastructure, equipment, and human resources as well as cause lower levels of security, numerous delays, reduced quality of service and, ultimately, negative financial effects.
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Dissertations / Theses on the topic "Airline Software Applications"

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Nyström, Olof, and Caroline Pettersson. "Utvärdering och rekommendation av uppföljningsprogram för flygplanunderhåll : för Täby Air Maintenance." Thesis, Mälardalen University, Department of Mathematics and Physics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-249.

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By today’s date there are a lot of companies that are in great need of restructuring their paperwork in a more organized way. This can be excellent arranged with the help of properly constructed computer software. The aviation industry is no exception, but actually a good example of this. Täby Air Maintenance (TAM) is a company which is situated in Örebro. Their main business is aircraft maintenance on a variety of aircraft models. TAM has so far handled their work by hand or with the help of a majority of small computer programmes. The information has now become too abundant and the different kinds of software being used are no longer a working tool for the company. There is therefore a demand for an exhaustive programme which has the capacity to take care of all parts in logistics and production. The purpose is to examine and evaluate three different makes of software and form a recommendation to TAM of which one suits their needs the best. The software was Airsoft, MX System and System Airline Management (SAM). The evaluation has been performed with the help of demo versions of the programmes, manuals and support from contacts at the different manufacturers. The programmes were initially dealt with one at a time and then compared towards each other and towards the demands from TAM. The software which in the end was recommended was SAM, and the decision was based on a number of reasons. The main reason was the user friendliness of the software - the fact that its logical structure makes it easy for its user to swiftly understand the concept and thus learn how to use it quickly. This results in profits, both in time and money.


Idag är många företag i trängande behov av att strukturera upp sitt pappersarbete på ett mer ordnat sätt. Detta kan ske på ett effektivt sätt med ett anpassat och ändamålsenligt strukturerat datorprogram. Flygbranschen är inget undantag, snarare ett bra exempel på detta. Täby Air Maintenance (TAM) är ett företag som är beläget i Örebro och utför underhåll på flygplan i varierande storlek. TAM har hittills skött arbetet för hand och med hjälp av ett flertal mindre datorprogram. Informationen har dock blivit alldeles för omfångsrik och de olika programmen är inte längre ett fungerande instrument för verksamheten. Det krävs därför ett heltäckande program som har kapaciteten att ta hand om alla delar, såväl logistik som produktion. Syftet är att undersöka tre olika program och ge en rekommendation på det som passar företaget bäst. Programmen är Airsoft, MX System och System Airline Management (SAM). Undersökningen har utförts med hjälp av demoversioner, manualer och stöd från kontaktpersoner hos tillverkarna. Programmen undersöktes först var för sig och därefter jämfördes de mot varandra och mot TAMs krav. Det program som rekommenderades var SAM. Detta beror på en mängd orsaker, där den främsta orsaken var programmets användarvänlighet - det faktum att dess logiska uppbyggnad gör det lätt för användaren att snabbt kunna sätta sig in i strukturen och därmed lättare kunna lära sig att använda det. Detta i sin tur ger vinster i både tid och pengar.

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Poon, Arthur Wai Keong 1979. "Software agents : an application to the airline MRO industry." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17783.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
Includes bibliographical references (p. 115-118).
Poor management of aircraft spare parts, human-related maintenance errors and the lack of coordinated decision-making in maintenance scheduling are some of the problems plaguing the airline MRO industry. Airlines, independent MRO providers and government agencies, particularly the Federal Aviation Administration have identified inefficiencies in MRO operations as a barrier to the realization of a safer and more effective air transportation system. The National Airspace System is slowly beginning to address this problem and one of its initiatives involves the gradual adoption of agent-based solutions and ontologies to automate some of the business processes in MRO depots. Agents and automated processes are ideal choices for making sense of ontologies and are key components in the next generation Semantic Web. The focus lies with improving business logic and practices of air carriers' MRO activities using software agent principles. This thesis proposes agent architectures for aircraft inspections, repairs and supply chain management of aircraft replacement parts and discusses the resulting implications of using agents as a decision-making tool for aircraft maintenance and repair in commercial airlines.
by Arthur Wai Keong Poon.
S.M.
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Collins, Andrew. "Evaluating reinforcement learning for game theory application learning to price airline seats under competition." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/69751/.

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Applied Game Theory has been criticised for not being able to model real decision making situations. A game's sensitive nature and the difficultly in determining the utility payoff functions make it hard for a decision maker to rely upon any game theoretic results. Therefore the models tend to be simple due to the complexity of solving them (i.e. finding the equilibrium). In recent years, due to the increases of computing power, different computer modelling techniques have been applied in Game Theory. A major example is Artificial Intelligence methods e.g. Genetic Algorithms, Neural Networks and Reinforcement Learning (RL). These techniques allow the modeller to incorporate Game Theory within their models (or simulation) without necessarily knowing the optimal solution. After a warm up period of repeated episodes is run, the model learns to play the game well (though not necessarily optimally). This is a form of simulation-optimization. The objective of the research is to investigate the practical usage of RL within a simple sequential stochastic airline seat pricing game. Different forms of RL are considered and compared to the optimal policy, which is found using standard dynamic programming techniques. The airline game and RL methods displays various interesting phenomena, which are also discussed. For completeness, convergence proofs for the RL algorithms were constructed.
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Quadros, Rui Miguel Cortez de Castro e. "Transporte aéreo: comunicação em redes móveis." Master's thesis, 2019. http://hdl.handle.net/10437/10046.

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Orientação: Mariana Cristina Melo Inácio Marques ; co-orientação: Paula Bela Rosa Luís Lopes
Nas companhias aéreas, a internet também permitiu a origem de novos canais de distribuição favorecendo o contacto direto com os seus seguidores. Os dispositivos móveis, entre os quais os telefones inteligentes, são as plataformas ideais para promover, comunicar, distribuir e vender. A possibilidade de se comunicar sem qualquer tipo de intermediação permite o contacto direto com o consumidor final, de uma forma rápida e eficaz. Como comunicam as companhias aéreas quando utilizam dispositivos com acesso à internet? Dois objetivos específicos estão enunciados nesta dissertação de mestrado: 1) Elencar quais os serviços mais utilizados e, por outro lado, de que forma podem servir como estratégia de marketing e comunicação. 2) Diagnosticar que tipo de serviços são procurados pelo consumidor quando este utiliza um smartphone, tendo como foco a eficácia, a notoriedade da marca e a fidelização dos clientes. Na elaboração do inquérito foram pré-definidos serviços que os clientes poderiam utilizar quando navegassem numa aplicação móvel. Verificou-se através dos resultados que é possível catalogar diferentes comportamentos patentes nas preferências dos mesmos aquando da escolha dos serviços disponibilizados. Desta forma, é possível criar segmentos de mercado específicos, permitindo satisfazer necessidades e conhecer melhor os clientes.
In airlines, the internet has also allowed new distribution channels, favoring direct contact with their followers. Mobile devices, including smartphones, are the ideal platforms for promoting, communicating, distributing and selling. The ability to communicate without any intermediation allows direct contact with the final consumer, quickly and effectively. How do airlines communicate when they use devices with internet access? Two specific objectives are set out in this master’s dissertation: 1) Which services are most used and, on the other hand, how can they serve as a marketing and communication strategy? 2) Diagnose what kind of services are sought by consumers when they use a smartphone, focusing on effectiveness, brand awareness and customer loyalty. In the survey, services were predefined which customers could use when browsing a mobile application. It was verified through the results that it is possible to catalogue different patent behaviors in the preferences when choosing the services. In this way it is possible to create more specific market segments, allowing to satisfy needs and to know the customers better.
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Book chapters on the topic "Airline Software Applications"

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Kaptanoğlu, Rana Özyurt. "Artificial Intelligence in Supply Chain Management." In Handbook of Research on the Applications of International Transportation and Logistics for World Trade, 470–82. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1397-2.ch025.

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This chapter develops a method proposal regarding digitisation of variables in road, maritime, and airline transport, and makes parameters machinable, output-producing algorithms methods. Results regarding which artificial intelligence is proper to be used in storage, distribution, stock, and order tracking, supply chain architecture, and third- and fourth-party logistical practices are sought. For this, artificial neural nets, software techniques, artificial intelligent philosophy, and the reflections on the business world are analysed.
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Sankaranarayanan, Suresh, and Subramaniam Ganesan. "Applications of Intelligent Agents in Mobile Commerce." In Mobile Commerce, 566–603. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2599-8.ch030.

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Mobile phone usage and its adoption have been growing at exponential rates. It is this exponential growth rate that has led many to predict Mobile Commerce (M-Commerce) as the next major evolution of Electronic Commerce (E-Commerce). While M-Commerce comes rich with unique features, it is currently lacking in usage when compared to traditional e-commerce. There are many challenges that must be addressed in this respect. These challenges are mostly inherent in the mobile devices, communication network, legal and regulatory infrastructure. The use of agents in e-commerce has long been explored in the context, resulting in a number of agent based e-commerce systems. It is not surprising then to note that many researchers believe that the problems that the M-Commerce now faces can be addressed well using agent technology. While there is an abundance of information on the use of agent based systems in other areas, there has been no great surge yet in the use of agent based systems in real world M-Commerce applications. We believe that this slow adoption of this agent technology is due to a lack of standards. There has been a quite an amount of research work carried out in the use of software intelligent agents in the M-Commerce applications like Shopping, Hotel, and Airline industries. These are outlined in the paper with appropriate screenshots and descriptions.
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Conference papers on the topic "Airline Software Applications"

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Rane, Ankita, and Anand Kumar. "Sentiment Classification System of Twitter Data for US Airline Service Analysis." In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2018. http://dx.doi.org/10.1109/compsac.2018.00114.

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Meng, Voon Yih, Loong Kwan Chean Donnell, and Mervyn Sirisena. "Software Application in Airline Operations - Back to Basics." In International Pacific Air & Space Technolgy Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1994. http://dx.doi.org/10.4271/940021.

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Lu, Jun, and Xuejun Wu. "Research on Application of Cache Model Based on Airline Accessibility Services." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5365339.

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Gaudet, Matthew, and Mark Stoodley. "Rebuilding an airliner in flight: a retrospective on refactoring IBM testarossa production compiler for Eclipse OMR." In SPLASH '16: Conference on Systems, Programming, Languages, and Applications: Software for Humanity. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2998415.2998419.

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Rees, Daniel C., and Kenneth I. Rubin. "Managing and Protecting Infrastructure Assets." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42612.

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The events of September 11th focused renewed attention on protection of our nation’s critical infrastructure. Utilities across the nation have an increased awareness of risks and are recognizing the potential vulnerability of their physical assets, and also the assets embodied in their employees, their knowledge base, their information technology and their customers. Utilities must now grapple with the possibility that their infrastructure assets may be targets of direct physical threats — or serve as conduits for indirect physical threats. As the concern for protecting our nation’s infrastructure intensifies, each utility is being asked to reassess its ability to provide safe and reliable services to customers and communities as a whole. However, improvements to protection of utility assets must be performed with constraints of limited capital and operating budgets. Security threats from terrorist and related events are relatively new to the utility industry, so standard industry-wide protocols are just now being developed. Serious security practices have evolved in some discrete areas, such as high-risk government buildings, nuclear power plants, and airline terminals. Utility infrastructure physical assets are typically dispersed, so, standard approaches to security (developed for enterprises with highly centralized assets, such as nuclear weapons production facilities) are difficult to apply. Managers must then face a balancing act between demands for security and the resources needed to enact and finance those actions. This paper describes the Vulnerability Self Assessment (VSAT™) methodology and software that provides a structured, cost-effective approach for utilities to assess their vulnerabilities and to establish a risk-based methodology for making necessary changes. The VSAT™ methodology groups utility assets into the classes of People (utility staff), Physical Plant, Knowledge Base, Information Technology Platform, and Customers. The methodology and software are flexible, customizable, and user friendly. VSAT™ software is equally applicable to deliberately caused or natural disasters. In addition to a library of prototypical assets, included in the software application are threat and countermeasure libraries. As users proceed through self-assessments, VSAT™ automatically documents the analysis process during each step. VSAT™ helps users identify critical asset(s) and potential single points of failure (SPFs). The VSAT™ process culminates in a series of risk-reduction-cost reports that presents findings in clear and concise ways. This is important, because the goal is business continuity and, at the end of the day, VSAT™ provides solutions that enable utilities to mitigate risks of business interruptions at least cost.
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