Abstract
Some measures of safety management based on cellular automata model are introduced. Firstly, single employee’s model could be established. Employees have been divided into three safety states. Each employee has six neighbors which mean hexagon cell is used. Taking employee’ s awareness into consideration. Some safety related definitions are given and local transition rules are built. Then three different emergences could be observed in the ideal condition. Overall safety situation shows strong randomness in the different initial conditions and could be divided into three kinds. Key factors of the safety awareness emergence could be found through analysis. Finally, combined with the behavior-based safety management system concept and the key factor above, some specific measures such as education and punishment are put forward. When safety management measure is used, there are only one form of emergence and overall safety situation rises clearly.
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This work was supported by the National Natural Science Foundation of China under contract number 71571091.
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Zhang, X., Chen, X., Sun, Q. (2018). Safety Awareness Emergence and Behavior-Based Safety Management in Enterprise. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_8
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DOI: https://doi.org/10.1007/978-3-319-60591-3_8
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