Computer Audit And Its Application In Airline Scheduling

With the increasing Airlines'flight quantity, the flight scheduling has become more and more complex. Inspecting the correctness and rationality of the flight scheduling by artificial audit way will cause more errors and has low efficiency. Therefore using the computer audit technology to inspect the result of the flight scheduling efficiently is an important component to implement the flight scheduling automatically.Firstly, the thesis discusses two commonly used computer audit technologies, and studies the usual methods of the outlier mining technology followed by the simple analysis and comparison of them. Considering the audit industry's characteristics, this paper focuses on the outlier detection method based on the fuzzy set theory, which uses the fuzzy set to imitate outlier detection artificially and could detect the outlier in both discrete data and continuous data. In order to inspect the scheduling results in each stage of flight planning, a flight audit platform has been given. This platform has extensible algorithms library and rules library, and could find out the abnormal data in scheduling results. In addition, this paper introduces the building method of the flight audit analysis model as well as the flight audit platform's architecture, working principle, rules library and algorithms library in detail. Finally, according to the current project research, some examples are given to assess the feasibility and availability of the constructed platform's application in the Flight Optimization and Revenue Maximization system.