机务维修风险管理研究

机务维修是影响飞行安全的重要环节,随着我国民航业的不断发展,机务维修能力不足的问题日益严重,急需进行风险管理研究。首先选择SHELL模型进行风险因素识别,从人员(L)、人员与人员(L-L)、人员与软件(L-S)、人员与硬件(L-H)、人员与环境(L-E)方面系统的识别出机务维修风险因素;在此基础上,针对机务维修风险因素相互影响的特点,选择模糊网络分析法进行风险评价,得出权重排序;针对评价结果,提出相应的风险控制措施:加强维修资源管理、建立良好的安全文化、强化维修队伍建设、改善维修工作条件。最终结果表明,此研究有助于系统全面的进行机务维修风险因素识别,科学的评价风险因素,合理的制定风险控制措施,对机务维修风险管理提供了一定的借鉴意义。

Risk management of aviation maintenance

Aviation maintenance was vital for the safety of flight. With the continuing development of civil aviation, the lack of aviation maintenance ability was increasingly serious, so it was necessary to carry out risk management. The SHELL model was taken as the risk identification tool at first. The aviation maintenance risk factors were classified and analyzed in accordance with Life （L） factors/Life and Life （L-L） factors/Life and Software （L-S） factors/ Life and Hardware （L-H） factors/Life and Environmental factors （L-E） factors to get the muster of risk factors. Then the fuzzy analytic network process was applied as the tool of risk assessment to quantitatively analyze the importance of risk factors according to the characteristic that risk factors influence each other. Based on the results of risk assessment, the corresponding risk control measures were put forward such as reinforcing maintenance resources management; making the just safety culture ; perfecting the construction of the aviation maintenance technicians; improving the aviation maintenance condition. The result indicated that the study was significant for the aviation maintenance risk management because it could help to systemically identify risk factors, scientifically assess risk factors and make reasonable risk control measures.