Impact of alliances and delay rate on airline performance

Author(s):  
Ying Li ◽  
Tai‐Yu Lin ◽  
Yung‐ho Chiu ◽  
Shu‐Ning Lin ◽  
Tzu‐Han Chang
Keyword(s):  
2021 ◽  
pp. 15-18
Author(s):  
O. G. Feoktistova ◽  
◽  
D. Yu. Potapova ◽  

The article considers the issue of making forecasts of the main indicators of the activities of airlines for their effective functioning in the air transportation market. It describes the life cycle of airlines and provides a classification of the forecasts that are currently being made. The interrelation of correlations of the key parameters of the airline’s functioning is considered, the use of correlations in forecasting is shown, actual calculations are presented, and a significant increase in forecast accuracy when using this forecasting method is demonstrated.


1984 ◽  
Vol 13 (2) ◽  
pp. 5 ◽  
Author(s):  
Allen Michel ◽  
Israel Shaked
Keyword(s):  

Aviation ◽  
2018 ◽  
Vol 22 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Roohollah Khoshkhoo ◽  
Alireza Jahangirian ◽  
Farzaneh Sharafbafi

In this study, three Line Operations Safety Audits (LOSAs) on an airline are carried out, their results are compared with each other, and a comparison is also made between domestic and international fleets. The LOSA is a proactive and predictive method in the Safety Management System that detects the strengths and weaknesses of airline performance under normal operations. Furthermore, it is a tool to improve the safety margin. The LOSA process is implemented on the basis of ten operating characteristics. Once the data for each LOSA was gathered and processed, the results for the three were compared. Surveys show that LOSAs provide a monitoring system for the Threat and Error Management of old generation aircraft. Domestic and international airline fleets confront different types of threats and errors in different flight phases. It is concluded that the syllabuses of training courses should be different for flight crew with respect to their fleet and the threat and error types. That are most common the obtained results can promote the importance of airlines’ Threat and Error Management based on their fleet type in the future.


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