<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The concept of Aviation Technical Support as a Service (ATSaaS) has emerged as a new and innovative approach in the aviation industry, aiming to provide comprehensive technical support services to small airlines. The paper explores the development and implementation of this model, combining state-of-the-art digitalization methods and advanced technologies to address the unique challenges faced by small airlines. The research focuses on the customization and scalability of the service model, considering the diverse needs and requirements of small airlines in terms of aircraft maintenance and technical operations. By leveraging advanced digitalization methods, such as artificial intelligence, machine learning, and data analytics, the model aims to optimize decision-making processes, enhance operational efficiency, and improve overall safety and reliability. The article highlights the research novelty in terms of integrating advanced digitalization methods, developing a customizable and scalable service model, and optimizing performance metrics. It explores the practical significance of the ATSaaS model by providing guidance for small airlines to access high-quality technical support services, make informed decisions, and achieve business growth and profitability. Through a comprehensive literature review, the article examines the existing models of aviation technical support services and identifies the gaps that the ATSaaS model aims to address. The study also emphasizes the importance of collaboration between the service provider and the airline, promoting a collaborative ecosystem that fosters effective communication, information sharing, and mutual benefits.</p>
</abstract>

The concept of Aviation Technical Support as a Service (ATSaaS) has emerged as a new and innovative approach in the aviation industry, aiming to provide comprehensive technical support services to small airlines. The paper explores the development and implementation of this model, combining state-of-the-art digitalization methods and advanced technologies to address the unique challenges faced by small airlines. The research focuses on the customization and scalability of the service model, considering the diverse needs and requirements of small airlines in terms of aircraft maintenance and technical operations. By leveraging advanced digitalization methods, such as artificial intelligence, machine learning, and data analytics, the model aims to optimize decision-making processes, enhance operational efficiency, and improve overall safety and reliability. The article highlights the research novelty in terms of integrating advanced digitalization methods, developing a customizable and scalable service model, and optimizing performance metrics. It explores the practical significance of the ATSaaS model by providing guidance for small airlines to access high-quality technical support services, make informed decisions, and achieve business growth and profitability. Through a comprehensive literature review, the article examines the existing models of aviation technical support services and identifies the gaps that the ATSaaS model aims to address. The study also emphasizes the importance of collaboration between the service provider and the airline, promoting a collaborative ecosystem that fosters effective communication, information sharing, and mutual benefits.

Concept of Aviation Technical Support as a Service

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Concept of Aviation Technical Support as a Service"}

The concept of Aviation Technical Support as a Service (ATSaaS) has emerged as a new and innovative approach in the aviation industry, aiming to provide...

Concept of Aviation Technical Support as a Service

Published Online: Nov 17, 2023

Page range: 471 - 482

DOI: https://doi.org/10.2478/ttj-2023-0037

Keywords
Aviation Technical Support, Service Model, Small Airlines, Advanced Technologies, Maintenance Optimization

© 2023 Igor Kabashkin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Concept of Aviation Technical Support as a Service

Published Online: Nov 17, 2023

Page range: 471 - 482

DOI: https://doi.org/10.2478/ttj-2023-0037

KeywordsAviation Technical Support, Service Model, Small Airlines, Advanced Technologies, Maintenance Optimization

© 2023 Igor Kabashkin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
Aviation Technical Support, Service Model, Small Airlines, Advanced Technologies, Maintenance Optimization