Improving Efficiency of International Flight Operations with Process Mining

被引:0
|
作者
Porouhan, Parham [1 ]
Premchaiswadi, Wichian [1 ]
机构
[1] Siam Univ, Grad Sch Informat Technol, Bangkok, Thailand
关键词
Process Mining; Process Simulation; Workflow mining; Process Maps/Graphs; Fluxicon Disco; Fuzzy Miner algorithm; Operating Cycle; Fleet Capacity; Operating Efficiency; Landing; Departure; ALPHA-ALGORITHM;
D O I
10.1109/ICTKE55848.2022.9983203
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The most valuable resource, especially in the aviation business, is to ensure on-time completion of all tasks. This report analyses data and examines activities of various aircraft at an international airport to help maximize efficiency. As a result, this research underlines the importance of performing effective flight operations at the international airports and attempting to comprehend the processes that occur during international flights to aid productivity. Using the Fluxicon Disco business intelligence application, the partially synthesized data acquired from the flight radar 24 is analyzed by tracking the aircraft activity of 101 aircraft from landing to departure. Based on the findings, further recommendations are recommended for the international airport airport's operation efficiency and maximum fleet capacity utilization for the airline operators. This report helps to understand better the variables that need to be addressed to improve efficiency and uncover suitable ways to improve current operations.
引用
收藏
页码:104 / 112
页数:9
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