scholarly journals Quality Disclosure Programs and Internal Organizational Practices: Evidence from Airline Flight Delays

2015 ◽  
Vol 7 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Silke J. Forbes ◽  
Mara Lederman ◽  
Trevor Tombe
Keyword(s):  
Product Quality ◽  
Organizational Practices ◽  
Firm Characteristics ◽  
Flight Delays ◽  
Time Performance ◽  
Quality Disclosure ◽  
Airline Flight

Disclosure programs exist in many industries in which consumers are poorly informed about product quality. We study a disclosure program for airline on-time performance, which ranks airlines based on the fraction of their flights that arrive less than 15 minutes late. The program creates incentives for airlines to focus their efforts on flights close to this threshold. We find that firms in this industry are heterogeneous in how they respond to these incentives. Moreover, this heterogeneity correlates with internal firm characteristics. Our findings highlight the importance of interactions between incentives created by a disclosure program and firms' internal organizational practices. (JEL D22, L15, L25, L93)

scholarly journals Integrated Dataset of Brazilian Flights

2021 ◽  
Author(s):  
Claudio Teixeira ◽  
Lucas Giusti ◽  
Jorge Soares ◽  
Joel dos Santos ◽  
Glauco Amorim ◽  
...  
Keyword(s):  
Latin American ◽  
Meteorological Conditions ◽  
Flight Delays ◽  
Commercial Aviation ◽  
Flight System ◽  
Flight Data ◽  
Latin American Countries ◽  
Airline Flight

The Brazilian commercial aviation system achieved the first position among Latin American countries and the fifteenth place worldwide on the Revenue Passenger-Kilometer ranking. The availability of flight information, including meteorological conditions, enables studies about the Brazilian flight system, such as flight delays and timetabling. Therefore, this paper contributes to such studies by offering an integrated dataset containing data on departure and arrival for flights departing and arriving at Brazilian airports comprising the period from 2000 to 2019. This paper presents a dataset composed of 15, 505, 922 records of flight data, each containing 45 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, scheduled and elapsed times for departure and arrival.

A Study of Flight Pad Time for Scheduling Process

2012 ◽  
Vol 225 ◽  
pp. 517-521
Author(s):  
Fairuz Izzuddin Romli ◽  
Mah Ban Seng
Keyword(s):  
Air Transportation ◽  
The United States ◽  
Progressive Increase ◽  
Decision Making Process ◽  
Additional Time ◽  
Flight Delays ◽  
Domestic Markets ◽  
Time Performance ◽  
Departure Time ◽  
Flight Route

Flight delays have become a big problem for current air transportation system, especially in busy domestic markets like those in the United States. This situation is predicted to worsen in the future with progressive increase in the air traffic demands. Since on-time performance has become a main competitive element for market success, many airlines resort to the flight padding practice as a means to improve their ranking. In brief, flight padding time is the additional time incorporated into the flight schedule to compensate for predicted delays. This study explores flight padding practices by identifying the factors that can influence the decision-making process for the required amount of pad time to be added for a particular flight route. Examples of ATL-JFK and ATL-SFO flight routes have been used to demonstrate the results of this study. All in all, it is shown that the flight padding practice is widely-used by airlines and scheduling factors such as departure time and month of flight have high influences in dictating the amount of the required pad time.

Analysis of application of Six Sigma in refuelling process in Brazilian airline

2019 ◽  
Vol 123 (1260) ◽  
pp. 265-282
Author(s):  
H. N. P. Tucci ◽  
G. C. Oliveira Neto
Keyword(s):  
Six Sigma ◽  
Scientific Literature ◽  
Average Length ◽  
Minimum Level ◽  
Flight Delays ◽  
Statistical Process ◽  
Time Performance ◽  
New Process ◽  
Increasing Risk

ABSTRACTAircraft refuelling is a major cause of flight delays because it is a slow process. Further, if it does not begin as soon as the aircraft is available for ground handlers, there is an increasing risk of it being terminated after the final passenger has boarded. Usually, the process only begins after information regarding the required quantity of fuel is passed through the flight dispatcher, and this information typically requires a certain time to reach the ground handlers. Therefore, it is intended to test a new scenario: to begin refuelling with a minimum level and, if necessary, fill up the remainder with the final fuel figures when received. The aim of this paper is to analyse the application of Six Sigma in this process through Student’st-test and statistical process control. The collected data in this case study include the amount of fuel supplied and flight delays (which are mainly caused by refuelling). The results demonstrate that the new process is favourable, and that the average length of flight delays is reduced from 14 to 6 min, which is an improvement of 57%. It is concluded that the application of Six Sigma in the aircraft refuelling process saves time and improves on-time performance levels, which is relevant to the scientific literature, thereby aiding in mitigating the risk of fines and penalties.

scholarly journals A Comparative Analysis of Delay Propagation on Departure and Arrival Flights for a Chinese Case Study

Aerospace ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 212
Author(s):  
Zhe Zheng ◽  
Wenbin Wei ◽  
Minghua Hu
Keyword(s):  
Operation Time ◽  
Flight Delays ◽  
Related Factors ◽  
Delay Propagation ◽  
Time Performance ◽  
Buffer Time ◽  
Reduction Effect ◽  
Flight Delay ◽  
Convective Weather ◽  
The Impact

In recent years, flight delay costs the air transportation industry millions of dollars and has become a systematic problem. Understanding the behavior of flight delay is thus critical. This paper focuses on how flight delay is affected by operation-, time-, and weather-related factors. Different econometric models are developed to analyze departure and arrival delay. The results show that compared to departure delay, arrival delay is more likely to be affected by previous delays and the buffer effect. Block buffer presents a reduction effect seven times greater than turnaround buffer in terms of flight delays. Departure flights suffer more delays from convective weather than arrival flights. Convective weather at the destination airport for flight delay has a greater impact than at the original airport. In addition, sensitivity analysis of flight delays from an aircraft utilization perspective is conducted. We find that the effect of delay propagation on flight delay differs by aircraft utilization. This impact on departure delay is greater than the impact on arrival delay. In general, specific to the order of flights, the previous delay increases the impact on flight on-time performance as a flight flies a later leg. Buffer time has opposite effects on departure and arrival delay, with the order increasing. A decrease in buffer time with the order increasing, however, still has a greater reduction effect on departure delay than arrival delay. Specific to the number of flights operated by an aircraft, the more flights an aircraft flies in a day, the more the on-time performance of those flights will suffer from the previous delay and buffer time generally.

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