scholarly journals An Underground Mine Risk Identification Model and Safety Management Method Based on Explanation Graph-Probabilistic Multi-Plan Analysis (EG-PMPA)

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 223214-223233
Author(s):  
Rugao Gao ◽  
Keping Zhou ◽  
Chun Yang ◽  
Ke Zhu
Keyword(s):  
Safety Management ◽  
Risk Identification ◽  
Underground Mine ◽  
Plan Analysis ◽  
Management Method ◽  
Identification Model

scholarly journals A New Semi-Quantitative Process Safety Assessment Method and Its Application for Fluorochemical Industry

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1695
Author(s):  
Guangpei Cong ◽  
Duhui Lu ◽  
Mei Liu ◽  
Qi Wang ◽  
Wei Yu
Keyword(s):  
Chemical Industry ◽  
Quantitative Methods ◽  
Safety Management ◽  
Assessment Method ◽  
Risk Identification ◽  
Main Line ◽  
Process Safety ◽  
Case Comparison ◽  
Improved Model ◽  
Risk Processes

Traditional hazard and operability analysis (HAZOP) is one of the most widely applied methods for process safety management in process enterprises. Due to its principles based on the conservative and qualitative judgment, it often leads to too conservative risk identification results for the fluorine chemical industry usually with high-risk processes to keep the continuity of production. Most of improved quantitative and semi-quantitative methods are based on the layer of protection analysis (LOPA) to resolve the over-conservative problem of traditional HAZOP with the database of LOPA. However, the improved model, taking LOPA as the main line and HAZOP only as the provider of scenarios and influencing factors, is limited to the fact that LOPA can only analyze complete and independent protection layers (IPLs). Therefore, in order to realize the quantitative or semi-quantitative analysis of disaster causes and consequences, a new semi-quantitative HAZOP method takes HAZOP as the main line to integrate LOPA, F&EI (fire and explosion index) for quantitatively calculating the reduction factors, probability on failure demand (PFD) of general protection layers (GPLs) and PFD of IPLs. With the case comparison of fluorine chemical industry, it is proved that this new method can effectively improve the problem that traditional HAZOP are too conservative in complex scenarios.

Real-Time Safety Risk Identification Model during Metro Construction Adjacent to Buildings

2019 ◽  
Vol 145 (6) ◽  
pp. 04019034
Author(s):  
Sherong Zhang ◽  
Chao Shang ◽  
Chao Wang ◽  
Ran Song ◽  
Xiaohua Wang
Keyword(s):  
Real Time ◽  
Risk Identification ◽  
Safety Risk ◽  
Identification Model

scholarly journals Measuring hotel employee perceived job risk: dimensions and scale development

2020 ◽  
Vol 32 (2) ◽  
pp. 730-748 ◽  
Author(s):  
Chaowu Xie ◽  
Jiangchi Zhang ◽  
Yanying Chen ◽  
Alastair M. Morrison ◽  
Zhibin Lin
Keyword(s):  
Factor Analysis ◽  
Risk Perceptions ◽  
Safety Management ◽  
Risk Identification ◽  
Measurement Scale ◽  
Future Research ◽  
Measurement Tool ◽  
Content Type ◽  
Hotel Employees ◽  
Risk Dimensions

Purpose The main purpose of this study is to identify the dimensions of hotel employees’ job risk perceptions and develop a measurement scale for this construct. Design/methodology/approach Four studies using a mixed-method design were conducted to develop and validate the scale of hotel employees’ perceived job risk (HEPJR). Study 1 identified the dimensions and initial items of HEPJR through a literature review and in-depth interviews. In Study 2, an explanatory factor analysis was perform to refine the preliminary items. Study 3 further refined the HEPJR scale through a confirmatory factor analysis. Study 4 confirmed that HEPJR is a 19-item scale through a cross-validation analysis. Findings A reliable and valid scale was developed to measure the following five dimensions of HEPJR: perceived human, equipment, internal environment, external environment and management risks. HEPJR and its dimensions significantly predict negative safety consequences and negative job satisfaction. Research limitations/implications Employees in medium- and high-star-rated hotels in China were surveyed. Future research should test the HEPJR scale in other types of lodging formats (e.g. budget hotels, homestays and cruise ships) and different countries or regions. Practical implications Given the increasingly serious job risks faced by hotel employees, the HEPJR scale can become a benchmark for job risk identification, accident prevention and safety management. Originality/value This scale provides a clear conceptualization and an appropriate measurement tool of HEPJR from a risk-source perspective.

scholarly journals Dynamic Evaluation Method of the EW-AHP Attribute Identification Model for the Tunnel Gushing Water Disaster under Interval Conditions and Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Bo Wu ◽  
Huihao Chen ◽  
Wei Huang ◽  
Guowang Meng
Keyword(s):  
Evaluation Method ◽  
Water Inrush ◽  
Risk Identification ◽  
Theory And Practice ◽  
Assessment System ◽  
Evaluation Index ◽  
Attribute Identification ◽  
Tunnel Section ◽  
Water Disaster ◽  
Identification Model

The gushing water disaster in tunnels is a kind of harmful and risky engineering disaster. It has become a key problem to evaluate the risk of tunnel gushing water accurately and objectively. A case study of a typical highway tunnel is performed for theory and practice analysis. For this reason, the risk identification is carried out on the assessed objects, and 10 evaluation indexes are determined. In turn, the risk evaluation index system and classification standard are established. Furthermore, the entropy weight method and the analytic hierarchy process are combined to assign the weight to each evaluation index. Therefore, a dynamic risk assessment system, including the pre-evaluation model and the postevaluation model, is constructed with the attribute identification model. As a result, the tunnel section with a high risk of water inrush is accurately assessed, which is consistent with the construction situation on site. Moreover, it is verified that the assessment results are reliable, which can provide a reference for the similar projects.

Research and Application of Coal Mine Enterprise Risk Information Database

2014 ◽  
Vol 696 ◽  
pp. 301-306
Author(s):  
Quan Chen ◽  
Li Meng Jia
Keyword(s):  
Risk Management ◽  
Coal Mine ◽  
Safety Management ◽  
Risk Identification ◽  
Risk Information ◽  
Coal Industry ◽  
Healthy Development ◽  
Enterprise Risk ◽  
And Control ◽  
Information Database

Enterprise safety management is centralized through scientific means, enhancing efficiency of safety management, which is an inevitable trend of safe production. Taking GT coal mine as an example, we propose identifying possible risk factors during the production process by systematic risk identification and establishing the risk information database. We should use risk information database to build a safety risk information system and produce a variety of risk management and control tools according to the actual needs of the company. We can realize dynamic management, standardize enterprise risk management and reduce accidents through continuous improving and upgrading the risk information database, which can finally achieve the healthy development of coal industry.

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