DocumentCode :
1791179
Title :
System Dynamic Analysis on Behavior-Based Safety in an LNG Enterprise
Author :
Yan-Yan Chu ; Lin-Jun Huang ; Qian-Xi Zhang ; Dong Liang
Author_Institution :
Sch. of Eng., Sun Yat-sen Univ., Guangzhou, China
fYear :
2014
fDate :
25-26 Oct. 2014
Firstpage :
760
Lastpage :
764
Abstract :
Unsafe behavior of workers is the key cause of accidents in production. Behavior-based safety model has been developed to catch all aspects of workers´ behavior safety to improve the enterprise safety level. To study the complex cause-effect relationship between the safety input and workers´ behavior safety in the mining enterprise, questionnaire investigations have been adopted in the mining enterprise. And mutual or recursive causality to understand the dynamics of behavior safety system has been analyzed by the information feedback in the system dynamic simulation, which is in accordance with the results of the questionnaires. Using the system dynamics software, Vensim PLE 5.4b, simulation cases about the mining enterprise workers´ safety behavior system have been made to show the process of workers´ behavior safety improvement and different factor increments. It is proved that the developing tendency of safety level of the mining enterprise can be predicted by system dynamic simulation and simulation results can provide support for the making of decisions on safety input.
Keywords :
behavioural sciences; decision making; digital simulation; industrial accidents; mining industry; safety; system monitoring; Vensim PLE 5.4b; accidents; behavior-based safety model; complex cause-effect relationship; enterprise safety level; factor increments; information feedback; mining enterprise; mining enterprise worker safety behavior system; system dynamic simulation; system dynamic software; worker behavior safety improvement; Accidents; Analytical models; Employee welfare; Psychology; Safety; Training; System dynamic; behavior-based safety; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
Type :
conf
DOI :
10.1109/ICICTA.2014.184
Filename :
7003647
Link To Document :
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