Citation

Lei Y, Wu C, Feng Y, Wang B. Reliab. Eng. Syst. Safety 2019; 190: e106497.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.ress.2019.106497

PMID

unavailable

Abstract

All systems can be associated with and expressed by information. For a normal system, the correct and smooth information exchange is the necessary condition of a safe system. Based on this, we can deduce that safety information which flows correctly and smoothly in a system is very important for safety. Therefore, the aims of this paper are to reduce the Safety Information Cognition (SIC) asymmetry and the safety risk in a system. Firstly, the process of multi-level SIC was innovatively analyzed from the perspective of the flow structure according to the Bayesian network. Secondly, some strategies and a model for the SIC optimization were creatively proposed based on the graph theory. Finally, the application of the optimization model was illustrated with an example. The optimization effect can be obtained by quantitatively comparing the safety information amount between before and after optimization, and the practical result proves that the optimization model works. In general, the optimization model can optimize the transmission routes of safety information and reduce safety information distortion. Our work can provide a new and effective method to improve the information transmission efficiency of multi-level SIC. It can be applied to safety management to reduce the systematic risk in a certain sense.

Language: en

Keywords

Multi-level safety information; Optimization model; Risk management; Safety information cognition (SIC); Transmission efficiency