Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System Dynamics
In the production process of coal chemical enterprises, there are factors such as dust, poisons, as well as toxic and harmful gases, which seriously restrict the safety and health of employees. It is urgent to strengthen research on occupational safety and health (OSH) of coal chemical enterprises....
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doaj-7c33762a15404de6a85082ca937c22332020-11-25T00:43:12ZengMDPI AGProcesses2227-97172019-01-01715310.3390/pr7010053pr7010053Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System DynamicsKai Yu0Lujie Zhou1Chen Hu2Linlin Wang3Weiqiang Jin4College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaTiandi (Changzhou) Automation Co., Ltd., Changzhou 213000, ChinaCollege of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaIn the production process of coal chemical enterprises, there are factors such as dust, poisons, as well as toxic and harmful gases, which seriously restrict the safety and health of employees. It is urgent to strengthen research on occupational safety and health (OSH) of coal chemical enterprises. Research on the influencing factors is very important to improve the level of OSH in coal chemical enterprises. Therefore, this paper analyzed the factors affecting OSH of coal chemical enterprises from four aspects: “human⁻machine⁻environment⁻management„. Then, an influencing factor indicator system was constructed. The weights of the indicator were analyzed using the Analytic Network Process (ANP). On this basis, the primary and secondary indicators of the influencing factors were ranked. Subsequently, the weights of ANP were taken as the influence coefficient between variables, and the System Dynamics (SD) model of OSH control measures was established and analyzed. According to the weights of ANP and the results of SD simulation, management and control measures were proposed to provide theoretical support and method guidance for improving the level of OSH in coal chemical enterprises. Finally, the research results were experimentally applied to coal chemical enterprises. The research results of the paper will improve the level of OSH in coal chemical enterprises of both theoretical and practical applications.https://www.mdpi.com/2227-9717/7/1/53occupational safety and healthanalytic network processsystem dynamicsmanagement and control measuressimulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kai Yu Lujie Zhou Chen Hu Linlin Wang Weiqiang Jin |
spellingShingle |
Kai Yu Lujie Zhou Chen Hu Linlin Wang Weiqiang Jin Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System Dynamics Processes occupational safety and health analytic network process system dynamics management and control measures simulation |
author_facet |
Kai Yu Lujie Zhou Chen Hu Linlin Wang Weiqiang Jin |
author_sort |
Kai Yu |
title |
Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System Dynamics |
title_short |
Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System Dynamics |
title_full |
Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System Dynamics |
title_fullStr |
Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System Dynamics |
title_full_unstemmed |
Analysis of Influencing Factors of Occupational Safety and Health in Coal Chemical Enterprises Based on the Analytic Network Process and System Dynamics |
title_sort |
analysis of influencing factors of occupational safety and health in coal chemical enterprises based on the analytic network process and system dynamics |
publisher |
MDPI AG |
series |
Processes |
issn |
2227-9717 |
publishDate |
2019-01-01 |
description |
In the production process of coal chemical enterprises, there are factors such as dust, poisons, as well as toxic and harmful gases, which seriously restrict the safety and health of employees. It is urgent to strengthen research on occupational safety and health (OSH) of coal chemical enterprises. Research on the influencing factors is very important to improve the level of OSH in coal chemical enterprises. Therefore, this paper analyzed the factors affecting OSH of coal chemical enterprises from four aspects: “human⁻machine⁻environment⁻management„. Then, an influencing factor indicator system was constructed. The weights of the indicator were analyzed using the Analytic Network Process (ANP). On this basis, the primary and secondary indicators of the influencing factors were ranked. Subsequently, the weights of ANP were taken as the influence coefficient between variables, and the System Dynamics (SD) model of OSH control measures was established and analyzed. According to the weights of ANP and the results of SD simulation, management and control measures were proposed to provide theoretical support and method guidance for improving the level of OSH in coal chemical enterprises. Finally, the research results were experimentally applied to coal chemical enterprises. The research results of the paper will improve the level of OSH in coal chemical enterprises of both theoretical and practical applications. |
topic |
occupational safety and health analytic network process system dynamics management and control measures simulation |
url |
https://www.mdpi.com/2227-9717/7/1/53 |
work_keys_str_mv |
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