Learning in Prevention of Unsafe Behavior Propagation between Production Employees

Abstract

The unsafe behavior of production staff has the characteristics of strong replication
and fast propagation. It is of great significance to establish a model for the spread of
unsafe behaviors under the intervention of training and education, and to study its
inherent rules of propagation, so as to control the spread of unsafe behaviors among
employees during the pandemic such as covid-19. The improved SEIRS infectious
disease model was constructed, and the concepts of improvement rate, learning rate
and direct immunity rate were added to explore the mechanism of out-of-system
training and education intervention on the spread of unsafe behaviors within the
system. Using the function ODE45 in MATLAB to solve the value of the differential
equation and effectively simulate the movement trajectory of each particle in the
system, so as to analyze the dynamic transformation relationship between employees
in different states and the influence of the conversion rate on the propagation process
of employees' unsafe behaviors. The results showed that the spread of unsafe
behaviors could be suppressed by increasing the rate of improvement, cure and direct
immunity, and decreasing the rate of infection, learning and forgetting by training the
safety awareness and skills of the future personnel. Conduct pre-employment safety
training and work safety supervision for future personnel, and cut off the source of
infection. As a result, changes in six conversion rates to different degrees will affect
the process of behavior propagation.