摘要
随着国内飞行训练航校的蓬勃发展,如何提高航校的飞行训练效率成为热点问题。利用某航校2017—2022年的飞行训练数据,运用数据包络分析(DEA)法对其数据进行时间序列分析,并采用灰色关联度模型对影响因素进行排序。研究结果表明,2017年、2018年、2019年、2021年、2022年DEA为有效,2020年非DEA有效。对DEA模型的结果进行分析,得出2020年各项投入和产出改进值。通过灰色关联度模型将指标对飞行训练综合效率影响程度进行排序,并对结果进行分析,提出改进建议。
Due to the vigorous development of domestic flight training aviation schools,how to improve the efficiency of flight training has become a hot issue.Using the flight training data of a certain aviation school from 2017 to 2022,the time series analysis of the data is carried out using the data envelopment analysis(DEA)method,and the grey correlation degree model is used to sort the influencing factors.The research results show that DEA is effective in 2017,2018,2019,2021 and 2022,and DEA is not effective in 2020.The results of DEA model are analyzed in terms of relative effectiveness,scale effectiveness and technical effectiveness.Improvement values are put forward from various inputs and outputs in 2020,the impact of input and output indicators on the comprehensive efficiency of flight training through grey correlation model is ranked,the results obtained are analyzed,and improvement suggestions are put forward.
作者
李贞洲
杨琳
秦莹
LI Zhenzhou;YANG Lin;QIN Ying(Zhuhai AVIC Flight School Co.,Ltd,Zhuhai 519000,Guangdong,China;Foreign Languages College,Wuzhou University,Wuzhou 543000,Guangxi,China)
出处
《科技和产业》
2023年第17期80-83,共4页
Science Technology and Industry
