摘要
为推进管制单位绩效型组织建设,提高管制单位质量安全绩效评价水平,首先依托标准法规的管理要点识别过程因素,从航班运行安全、航班正常性和服务质量3个方面识别结果因素;运用斯皮尔曼相关系数法,确定影响管制单位质量安全绩效的关键因素;然后构建基于三角模糊熵权法的物元可拓云管制单位质量安全绩效评价模型;最后以某地区管制单位为例,运用该评价模型确定绩效等级。结果表明:管理者的承诺、风险管理、管制原因导致的不安全事件状况等9项因素是该管制单位质量安全绩效的关键因素;该单位的绩效等级为"良好"。另外,这一评价模型能解决评价过程中模糊性、随机性及指标不相容的问题。
In order to promote performance-based organization building and improve evaluation on quality and safety performance in air traffic control units,firstly,process factors were identified based on management points of standard regulations,and outcome factors identified from perspectives of flight safety,flight punctuality and service quality.Secondly,key factors that influenced quality and safety performance were determined by using Spearman correlation coefficient method.Then,an evaluation model was developed as a combination of matter element extension and cloud model based on triangular fuzzy entropy weight method.Finally,with a regional air traffic control unit as an example,the evaluation model was applied to determine its performance grade.The results show that there are 9 key factors for its quality and safety performance,including managers’ commitment,risk management,unsafe incident conditions caused by air traffic control,etc,and its performance rating is ’good’.Moreover,the model can solve problems of fuzziness,randomness and index incompatibility during evaluation process.
作者
陈芳
杨诗琪
沈芮宇
CHEN Fang;YANG Shiqi;SHEN Ruiyu(Economics and Management College,Civil Aviation University of China,Tianjin 300300,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2020年第10期27-33,共7页
China Safety Science Journal
基金
2019年民航局安全能力项目(ASSA2019/19)。
关键词
管制单位
质量安全绩效
关键因素
斯皮尔曼相关系数
三角模糊熵权法
物元可拓云模型
air traffic control units
quality and safety performance
key factors
Spearman correlation coefficient
triangular fuzzy entropy weight method
matter element extension and cloud model
