Enterprise Safety Management Research Articles

电子信息技术在企业安全管理中的应用探讨

With the rapid development of China’s social economy and the continuous advancement of science and technology, current electronic information technology has also made major breakthroughs and has been increasingly used in enterprise safety management. However, it cannot be denied that the current application of electronic information technology in the safety management practice of Chinese enterprises is not ideal, and there are still many problems that need to be solved urgently. Based on this, this study first analyzes the application characteristics of electronic information technology, then analyzes the application principles of electronic information technology in enterprise safety management, secondly analyzes the problems existing in electronic information technology in enterprise safety management, and finally elaborates on the application of electronic information technology in enterprise safety management. Application strategies in enterprise security management to provide a useful reference in enterprise security management.

Sustainable Energy Safety Management Utilizing an Industry-Relative Assessment of Enterprise Equipment Technical Condition

The study considers approaches to ensuring energy management for the safe operation of facilities and their equipment and ways to improve it. It has been established that to ensure effective safety management of industrial enterprises, one of the critical areas is the technical diagnostics of power equipment during operation. An assessment of the actual technical condition of power equipment of VVER-1000 power units is proposed based on establishing the aging mechanisms and determining the relative evaluation coefficients for the characteristics of individual equipment elements. The results of the calculations allowed us to conclude that the obtained results correspond to the coefficients of relative assessment Ki of the technical characteristics of the power equipment that determine its degradation. Studies indicates that when assessing the state of power equipment, it is necessary to consider the presence and impact of the following operational factors that are not considered in the design calculations: loads, high levels of mechanical stress, fatigue damage, and metal defects, which primarily indicate the presence of degradation changes. To assess the technical condition of the equipment, considering the degree of mechanical wear, 17 technical characteristics were selected to determine the aging mechanisms by signs of degradation. A mathematical model of the dependence of the relative evaluation coefficient K on changes in the operating parameters is presented, and it is noted that the most significant influence on the value of the coefficient is the temperature of the coolant at the inlet (K = 0.56). The developed approach makes it possible to improve the safety management system of power facilities by introducing the proposed model to assess the technical conditions of power equipment by defining the parameters in the overall safety management system.

A chemical accident cause text mining method based on improved accident triangle

BackgroundWith the rapid development of China’s chemical industry, although researchers have developed many methods in the field of chemical safety, the situation of chemical safety in China is still not optimistic. How to prevent accidents has always been the focus of scholars’ attention.MethodsBased on the characteristics of chemical enterprises and the Heinrich accident triangle, this paper developed the organizational-level accident triangle, which divides accidents into group-level, unit-level, and workshop-level accidents. Based on 484 accident records of a large chemical enterprise in China, the Spearman correlation coefficient was used to analyze the rationality of accident classification and the occurrence rules of accidents at different levels. In addition, this paper used TF-IDF and K-means algorithms to extract keywords and perform text clustering analysis for accidents at different levels based on accident classification. The risk factors of each accident cluster were further analyzed, and improvement measures were proposed for the sample enterprises.ResultsThe results show that reducing unit-level accidents can prevent group-level accidents. The accidents of the sample enterprises are mainly personal injury accidents, production accidents, environmental pollution accidents, and quality accidents. The leading causes of personal injury accidents are employees’ unsafe behaviors, such as poor safety awareness, non-standard operation, illegal operation, untimely communication, etc. The leading causes of production accidents, environmental pollution accidents, and quality accidents include the unsafe state of materials, such as equipment damage, pipeline leakage, short-circuiting, excessive fluctuation of process parameters, etc.ConclusionCompared with the traditional accident classification method, the accident triangle proposed in this paper based on the organizational level dramatically reduces the differences between accidents, helps enterprises quickly identify risk factors, and prevents accidents. This method can effectively prevent accidents and provide helpful guidance for the safety management of chemical enterprises.

Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting

In order to address the issues of unclear risk grading control, lack of safety management, and hidden danger investigation and management processes, this paper used a mining enterprise as the backdrop for an engineering example. The “evaluation model of the overall construction level of the enterprise safety management system” is constructed from four aspects: “preliminary infrastructure”, “risk grading and control”, “hidden danger investigation and management processes”, and “Post-support work”. The safety evaluation level is divided into five levels, and the evaluation model is combined weighted by using the combined ordered weighted averaging (COWA) algorithm and the criteria importance through intercriteria correlation (CRITIC) method. In addition, the cloud model, the extension cloud model, and the grey clustering evaluation method are used for a thorough evaluation. Finally, the enterprise safety management system’s overall construction level is determined to be good. In order to effectively strengthen the enterprise safety management capability and prevent the occurrence of production safety accidents, this study provides a practical and thorough evaluation method for the evaluation of the enterprise safety management system. This method makes it easier to identify system weaknesses and provides a safety guarantee for the sustainable development of enterprises.

Exploring Industry 4.0 technologies to improve manufacturing enterprise safety management: A TOPSIS-based decision support system and real case study

Industry 4.0 is changing the traditional manufacturing context, increasing digitalization towards smart production. Safety is one of the most critical issues and companies are approaching its digital transformation from technological and management perspectives. The main criticalities in this transition are due to the different benefits deriving from the impact of each Industry 4.0 technology applied and therefore to the choice of the most appropriate technologies for the specific production system for safety management. In this scenario, the aim of this study is to assist practitioners in the choice of the most appropriate technologies according to the benefits to be obtained and to the constraints dictated by the characteristics of the production system. For this purpose, a Systematic Literature Review has been performed, to gain a comprehensive overview of current or potential application of Industry 4.0 technologies in safety management, identifying the most impactful technologies and defining the key parameters to consider. Based on the obtained results, a Decision Support System (DSS) has been designed, consisting of a flowchart and a TOPSIS-based tool, to identify the best Industry 4.0 technologies and quantify their suitability for safety management, respectively. Finally, the proposed methodology was applied and validated in a real case study of a large food company. According to the final ranking suggested by the DSS, it is possible to consider Cloud as the most impactful Industry 4.0 technology for the safety management system within the specific company, followed by IoT. This result is consistent with data collected from the experts, confirming the effectiveness of the theoretical DSS to investigate the best Industry 4.0 technology adoption.

Safety and risk management of Chinese enterprises in Gabon's mining industry

The mining sector is booming due to the market and worldwide demand increase. The use of novel industrial processes and equipment, growth in trained personnel, and growth in managerial skills go hand in hand with the need to increase productivity in mining areas. These improvements make the mining industry one of the world's riskiest and most unstable. Several large-scale mining projects have failed due to a failure to recognize or underestimate risks, even when the industry uses risk management methods appropriately. To increase decision-making accuracy and protect mining organizations, risk mitigation of development work should be pursued. Safety and risk assessment is vital in the mining industry. The paper evaluates mining industry risks and safety. This research used Gabon's mining sector. This research included multiple dataset-gathering and interpretation methods. This study shows how to find a variety of recognized risks and uncertainty that have not been considered in any methodical or systemic approach to mining sector risk and safety monitoring. This research organizes risks hierarchically to show their consequences and propensity for each stage.

The influence of work safety information disclosure on performance of listed companies in high-risk industries: Evidence from Shenzhen stock Exchange

The disclosure of work safety information of listed companies in high-risk industries is an important aspect of their social responsibility, and it is also an inevitable requirement to meet the right of stakeholders to know, which has a far-reaching impact on the development of enterprises. In order to clarify the impact mechanism of work safety information disclosure on enterprise performance of listed companies in high-risk industries. 222 listed companies in high-risk industries were taken as the research object, and the multiple regression analysis method was used to analyze the relationship between the level of work safety information disclosure of enterprises and their financial performance, safety performance and social reputation. The results show that the work safety information disclosure of listed companies in high-risk industries has a positive impact on corporate financial performance, safety performance and social reputation; unabsorbed slack resources have a positive U-shaped regulatory effect on work safety information disclosure and enterprise social reputation; The shareholding ratio of institutional investors has an inverted U-shaped regulatory effect on the positive relationship between work safety information disclosure and enterprise social reputation. This study has enriched the theoretical and practical exploration of research on work safety information disclosure. It can help improve the level of work safety information disclosure and safety management in enterprises, while guiding the sustainable development of occupational health and safety within these organizations.

Dynamic simulation and control strategy exploration of the unsafe behavior of coal mine employees

Approximately 80% of production safety accidents in Chinese coal mining industry companies are caused by unsafe behaviors. Therefore, in-depth study of employees unsafe behavior and its control technology have great practical and theoretical value for the prevention and control of coal mine accidents. In this paper, a dynamic simulation model of the unsafe behavior of coal mine workers is established, and 28 factors that affect the unsafe behavior of coal mine workers are summarized. Combined with agent and system dynamics, a dynamic simulation of the change law of unsafe behavior of coal mine workers is carried out, and unsafe behavior is found. The simulation results between different groups are consistent. Through the study of interventions and control measures for the unsafe behavior of coal mine employees, a control strategy for the unsafe behavior of coal mine employees is proposed, and a control strategy base is established. According to the situation, this kind of result will strengthen the early-warning control of unsafe behaviors and provide a practical method for the guidance of safety management. Research on unsafe behavior can potentially solve the safety management of coal mining enterprises.

THE ESSENCE AND MECHANISM OF ENVIRONMENTAL SAFETY MANAGEMENT

Relevance. Over time and as public awareness grows, it is becoming increasingly clear that environmental protection is one of the most important issues facing people in the 21st century. Growing industrialisation and business development are increasing the impact of business on the environment, which can have serious consequences for human health, natural ecosystems and the economy. As a result, environmental security has become one of the most important issues for companies, governments and society as a whole. The article reveals the theoretical foundations of the essence and mechanisms of environmental safety management of an enterprise. The main objectives are: to clarify the essence of the concept of corporate environmental safety management; to propose a classification of objects, subjects and functions of corporate environmental safety management; to consider approaches to corporate environmental safety management; to illuminate theories of corporate environmental safety management that influence national security; to identify stages of corporate environmental safety management; and to develop a classification of tools and indicators for corporate environmental safety management. Research methods. The article used a historical approach, a systemic approach, methods of analysis and synthesis, deduction, the logical method and a method of generalisation as the basis of the study. Conclusions. This research confirms that managing environmental safety in an organisation is a complex process that requires the involvement of different management subjects and objects. Furthermore, the study showed that theories of environmental safety management in enterprises have implications for ensuring national security. The result of this research is the development of classifications for objects, subjects, functions, tools and indicators of environmental safety management in enterprises, which will improve and effectively perform tasks related to environmental safety management in enterprises.

Evaluation and prediction of the safety management efficiency of coal enterprises based on a DEA-BP neural network

With the development of big data technology, big data have gradually become the main driving force of safety management. To effectively predict and evaluate the changes in the safety management efficiency of coal enterprises under big data technology, the model-driven DEA method and the data-driven BP neural network method are combined. A DEA-BP neural network hybrid-driven model, in which safety management efficiency is considered, is constructed for coal enterprise evaluation and prediction. The data of 20 coal enterprises from 2015 to 2020 are used for empirical research. The results indicate that the static analysis shows a fluctuating upwards trend in the level of safety management of coal enterprises. The dynamic analysis shows that the decline in the technical efficiency change is mainly caused by the decline in the pure technical efficiency change. In terms of improving safety management efficiency, coal enterprises mainly target a single aspect of technical progress efficiency, without realizing that the improvement of safety efficiency is the result of the combined effect of technical efficiency and technical progress efficiency. An accuracy of 90% can be achieved using the BP neural network prediction based on the addition of new indicators, demonstrating that the evaluation and prediction model has good adaptability.

Theoretical-definitive exposition of the categorical apparatus for investigating the management of environmental safety in an enterprise

Relevance of the research topic. Modern requirements for enterprises include compliance with environmental norms and standards to ensure not only the safety of people's lives and health but also the preservation of the natural environment. Such an approach is a necessary condition for the development of sustainable business and ensuring economic stability of enterprises in the long term. Problem statement. Environmental safety management of enterprises is one of the most pressing and complex problems faced by business structures today. On the one hand, companies are interested in maximizing sales of their goods and services, while on the other hand, they must comply with the requirements of state legislation and international recommendations in the field of environmental protection. Analysis of recent research and publications. The works of such Ukrainian scientists as O.I. Basarab, Ye.S. Belash, I.V. Breslavska, V.I. Danylevsky, H.M. Drozd, O.O. Drozdova, M.I. Zhurba, I.P. Kalinina, and others are devoted to the study of theoretical, methodological, and practical aspects of environmental safety management of enterprises. Highlighting previously unresolved parts of a common issue. Despite the abundance of scientific studies on the management of environmental safety in enterprises, the question of its role and position within the broader system of national security of the state remains a topic of ongoing discussion. The aim of the article is to develop a theoretical and definitive exposition of the categorical apparatus for managing the environmental safety of enterprises. The main objectives of the study are: to investigate existing approaches to interpreting the essence of the concept of «environmental safety management of enterprises» and to develop, based on their analysis, a theoretical and definitive exposition of the categorical apparatus for managing the environmental safety of enterprises, taking into account modern trends and challenges of sustainable development. Research methods. The article utilized a historical approach, a systems approach, methods of analysis and synthesis, deduction, logical method, and generalization as the basis of the research. Results of the research. The following approaches to interpreting the essence of the concept of «environmental safety management of enterprises» were identified: social, complex, sectoral, legal, regional, natural resource, risk-oriented, process-oriented, and results-oriented approaches. Each of these approaches has its own characteristics and is used depending on the needs of the enterprise and the specific situation. A theoretical and definitive exposition of the categorical apparatus for managing the environmental safety of enterprises was developed. Field of application of the results. The research findings can be used to improve theoretical approaches and develop effective strategies for managing the environmental safety of enterprises. Conclusions. Thus, the environmental safety of an enterprise is an integral part of national security. The theoretical and definitive exposition of the categorical apparatus for managing the environmental safety of an enterprise is presented as follows: Safety is a comprehensive state of absence of threats and risks that can cause harm to people, the environment, and property, which is ensured not only by reactive responses to potential threats but also by a proactive approach to ensuring safety through preventive measures and reducing the potential consequences of potential threats. Environmental safety of an enterprise is a complex state in which the activities of the enterprise do not violate the self-regulation ability of natural ecosystems, ensure the preservation of biodiversity and climate, avoid the creation of new environmental risks, reduce the negative impact of anthropogenic factors on the environment, and ensure the safety and health of the population. Management of the environmental safety of an enterprise is a system of strategic planning, coordination, and implementation of measures to minimize the negative impact of the enterprise on the environment, ensure compliance with environmental legislation and standards, reduce environmental risks, and promote the principles of sustainable development.

Discussion on Unorganized Waste Gas Emission and Prevention Measures in Fine Chemical Production

This paper mainly discusses the safety management measures of fine chemical production enterprises from the perspective of the importance of safety management in fine chemical production enterprises, and describes them from different angles. At the same time, it expounds the safety technology countermeasures of fine chemical production enterprises, analyzes some safety technologies in the production process, and strengthens the feasibility and necessity of prevention and control of unorganized waste gas in combination with practical cases. In the future, the supervision of enterprises' unorganized emission of waste gas and the research and application of new waste gas treatment technologies in the chemical industry park will be strengthened, and the regional ambient air quality and people's satisfaction with the environment will be significantly improved.

Construction of Emergency Culture and Safety Evaluation Index System Based on Behavioral Safety "2-4" Model

With the frequent occurrence of production safety accidents in enterprises in China, it has become a broad consensus of the whole society to attach importance to the emergency management of production safety in enterprises. Taking the coal mine as an example, the frequent safety accidents in coal mine enterprises have seriously affected human health, safety and environment, highlighting the fragility of safety management and safety culture construction in coal mine enterprises. To fundamentally reduce or eliminate the occurrence of safety accidents in coal mining enterprises, the most important and effective safety management strategy is to build a long-term safety culture. The "2-4" model of behavior safety is introduced into the construction of coal mine emergency culture, hoping to further reduce coal mine safety accidents and build an evaluation system of enterprise culture construction with the characteristics of coal mine industry. In the development stage of coal mine, a reasonable mining plan should be made, and comprehensive preparations should be made. In the tunneling stage, the construction safety and progress should be strictly managed and supervised. It will be beneficial to the standardization and scientific development of coal mine commercial enterprise culture, is the inherent requirement of building advanced enterprise culture, and promotes the safe and healthy development of coal mines.

Research on risk analysis and prevention policy of coal mine workers' group behavior based on evolutionary game

The analysis and prevention of behavior risk is one of the important measures to reduce accidents. This research adopts the game method to study group safety behavior, and applies the research to behavioral risk prevention in the daily safety management of coal mining enterprises. First, the influencing factors and quantitative relationship of group behavior were determined through investigation. Then, the dynamic game matrix was constructed, and the dynamic game evolution model of "formal group--informal group" was established. The evolution law of group safety behavior was discussed and analyzed from 3 aspects, i.e., management decision, environment, and manager. Finally, the research was applied to coal mine enterprises, and its effectiveness was verified by summarizing and analyzing the behavior violation data for 2 years. It was found that under the influence of management decisions, the level of safe behavior increased by 21.875% in formal groups, and increased by 21.467% in informal groups. In addition, under the influence of the group environment, the level of safe behavior decreased by 79.875% and 86.667% in formal groups and informal groups, respectively. The research explains the dynamic evolution law of coal mine workers and provides a theoretical basis and reference for the management and control of coal mine workers' unsafe behavior.

THE EXTERNAL FACTORS' INFLUENCE ON THE TRANSPORT ENTERPRISE'S MANAGEMENT OF ENVIRONMENTAL AND ECONOMIC SAFETY

Improving the production capacity of modern transport enterprises requires increased attention to the environmental component of their activities. The close connection between the transport enterprises’ environmental and economic activities contributed to the formation and popularization of the concept of ecological and economic safety management. The conducted research allows us to identify the directions and features of the environmental factors’ influence on the ecological and economic safety management of transport enterprises. As part of the research, the legal framework in the field of environmental and economic safety management of a transport enterprise was studied, and the peculiarities of the influence of external environmental factors on the environmental and economic safety management of enterprises were analysed. The purpose of the study is to explore the environmental factors that affect the management of environmental and economic safety of the enterprise. As part of achieving the goal, the following tasks were solved: groups of environmental factors affecting the ecological and economic safety management of the transport enterprise were identified; the primary importance of factors was determined; the legal framework in the field of environmental and economic safety of transport enterprises has been studied; the intricacies of the influence of environmental factors on the ecological and economic safety of transport enterprises were analysed. The conducted analysis of the environmental factors’ influence on the management of ecological and economic safety of transport enterprises can be used to form a system of indicators for assessing the level of ecological and economic safety of a transport enterprise, direct assessment and development of a mechanism for increasing the level of ecological and economic safety of a transport enterprise.

Autonomous rectification behavior of coal mine safety hazards under a gambling mind: From an evolutionary game perspective

Safety supervision is an important approach for urging coal mining enterprises to ensure safe production. However, in the face of safety supervision, different interests have a gambling mind for their own benefit, which leads to a loss of risk identification. Moreover, the literature on the analysis of coal mine safety supervision through game methods mainly focuses on how to improve the intensity of supervision. Additionally, research on evolutionary game analysis that considers a gambling mind and research that distinguishes between levels of supervisory intensity are lacking. Therefore, this paper takes the main stakeholders involved in the mine safety supervision, namely, the government supervision departments and the coal mining enterprises as research objects. An evolutionary game model is established. The gambling mind, supervisory intensity, joint liability and other factors are considered in the proposed model. Moreover, this paper also conducts a numerical simulation of the evolutionary game model to analyze the stability of stakeholder interactions and to propose methods for coal mine safety supervision procedures based on the analytical results. The simulation results show that improving the risk identification ability of coal mining enterprises is the key factor for urging coal mining enterprises to take the initiative to rectify safety hazards and avoid accidents. Increasing the frequency of supervision without increasing the penalties can also make the system stable in the optimal state for a long period of time. Increasing joint liability is not conducive to the game system maintaining stability, and has no impact on the supervisory efficiency of government supervision departments. The research results hold great theoretical and practical significance for improving the safety and process management of coal mining enterprises.

Research on the Problems and Countermeasures of Safety Management of Industrial and Trade Enterprises

Research on the Problems and Countermeasures of Safety Management of Industrial and Trade Enterprises

Research on Strengthening Economic Safety Management of Enterprise's Fixed Assets

Research on Strengthening Economic Safety Management of Enterprise's Fixed Assets

Deficiencies and Optimization Strategies in Safety Management of Hazardous Chemicals Production Enterprises

Deficiencies and Optimization Strategies in Safety Management of Hazardous Chemicals Production Enterprises

Discussion on Construction Engineering Quality and Safety Management of Construction Enterprises

Discussion on Construction Engineering Quality and Safety Management of Construction Enterprises