Human Error Investigation And Prevention Strategy Of Production Line In SF Suzhou Corporation

Along with the development of high-tech and the complexity of the man-machine system,the reliability of hardware and device itself increasingly strengthened,but the human error influence becomes more important for the system.Research has shown that some serious accident is directly related to the human error.About 90% to 70% system failure is caused by human error in the nuclear power plant,aviation,chemical and other complex systems.Famous American quality management expert Juran and Gryna had a lot of investigation and study,found that for moderate complexities of above products,40% of the failures are caused by design reason,30% of the failure is due to the site management error,and 30% of the failure is due to human error that exist in the process.This paper takes human error of SF Suzhou corporation production line as the research subject,first of all,by collating and analyzing historical human error data,analyzing the human error in terms of types,characteristics,consequences and causes,and then collect the primary data through questionnaire and interview survey,and study the human error generation cause.Then identify and evaluate the criticality and control level of potential human erro risk model,finally propose human error prevention strategies based on the summary of human error cause and human risk classification.The conclusions show that 48.4% of the total number of aviation production accidents were caused by human error,and personal factors is a major cause of human error and psychological factors cannot be ignored especially.However human error is a result of the combined action of multiple factors,organizational factors and environmental factors are the recessive and deep-seated reasons,such as shift handing-off management,training and authorization management,production shifts and days off,etc.,in terms of environmental factors,the analysis result shows the significant characteristics of "time".12 prevention strategy was proposed based on cause analysis and FMEA analysis.