摘要
鉴于航空公司维修管理活动具有随机性和不确定性特征,各维修安全质量因素之间具有灰色特点,建立了维修安全质量因素灰熵分析模型。同时,为了客观反映影响因素关联度分辨力,对分辨系数取值作了判定,从安全性、可靠性和经济性3个方面探讨了航空公司维修安全质量影响因素的构成。以航空公司为例,采用灰熵分析模型分析了事故征候万时率、严重差错万时率和不符合MEL误飞千次率等14个因素对维修安全质量的显著性影响,确定维修工时率、飞机余寿百分比、地面报告故障率、严重差错万时率和航材消耗率为影响维修安全质量的主要相关因素。
The present paper aims to introduce our approach to ana- lyzing the influential factors of safety and quality maintenance of air- line based on grey relation entropy method, which involves the safety and quality maintenance in airline management. As is known, in or- der to study the influential factors of airline safety and quality mainte- nance, it is necessary to know the features of such airline mainte- nance management activities, most of which are irregular and random at least at first sight. It is for this reason that we have to resort to the grey relation entropy model to deal with the problem. In this paper we would like to make an analysis of the above said grey relation entropy model and analyze the relational degree, which is coincide with the actual situation of the airline maintenance management activities. Ac- cording to AC - 145 - 15 and the regulation of civil aviation manage- ment, we have to first of all grasp the crucial technology and its es- sential relation to data and information statistics and the ways for ac- quisition and monitoring of airline activities. Consulting with the man-agerial and technological personal, we have analyzed all the affecting factors concerning the airline maintenance safety and quality, which are mainly made of safety, reliability and economic control based on the study of the reliability data of the aircraft, such as Boeing and Airbus and some other machines produced at home. On the whole, we have summarized the most important 14 factors affecting the main- tenance safety quality, including the incident rate and serious error per/million rate, as well as the undue MEL delay flying per/thousand rate and so on, and analyzed them with our grey relation entropy model. And, finally, we have gained the whole picture of the relation degree of grey entropy with＇all the clear-cut results involved. Through further analysis, we have drawn five main factors from the 14 ones, that is, the man-hour rate, the rest of the aircraft sustainable life, the ground report failure rate, the serious per-millian/error rate and the aircraft-material consumption rate. The final conclusion shows that the analysis model of maintenance safety quality factors is well- received, practical and feasible. It can be said that the model we have proposed is valuable and can serve as a criterion for designing projects and measures on the management of airline safety and quality maintenance.
出处
《安全与环境学报》
CAS
CSCD
北大核心
2013年第1期267-270,共4页
Journal of Safety and Environment
基金
中国民航飞行学院科研基金项目(J2011-22)
