基于权的最小平方法和熵权法的机务维修人员疲劳影响因素研究

Influencing Factors of Maintenance Personnel Fatigue Based on WLSM and Entropy Weight Method

机务维修人员疲劳是关系到维修质量和飞行安全的重要问题之一。通过对机务维修人员疲劳影响因素的深入分析,构建了机务维修人员疲劳风险评价指标体系,并通过编制专家调查问卷,采用专家独立调查方法对各指标进行判断,根据权的最小平方法和熵权法确定各指标的组合权重,以找到影响机务维修人员疲劳的关键因素。计算结果表明:维修负荷、夜班执勤、睡眠和执勤时间是影响机务维修人员疲劳的主要因素,上述因素可以作为进一步风险量化的基础,从而实现控制疲劳风险的目的。

Fatigue of maintenance personnel is one of the important issues in maintenance quality and flight safety.By deeply analyzing the influencing factors of the maintenance personnel fatigue,this paper determines the risk evaluation index system of fatigue of maintenance personnel.The paper compiles the expert questionnaire and applies the Delphi method to verify each index.At last,the paper uses the weighted leastsquare priority method and entropy weight method to calculate the combined weight of each index in order to find the key factors influencing the maintenance personnel fatigue.The index weight calculation results show that maintenance load,night shift duty,sleep and duty time are the most important factors contributing to maintenance fatigue.Moreover,the above factors can be used as basis to quantify the risk of maintenance personnel fatigue,thus achieving the aim of controlling the fatigue risk.