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Current Insights in Industrial Accident Risk Analysis and Assessment
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Current Insights in Industrial Accident Risk Analysis and Assessment

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Occupational Safety and Health".

Deadline for manuscript submissions: closed (25 June 2023) | Viewed by 4627

Special Issue Editors

Dr. Fang Yan

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: system safety; regional risk assessment; risk field; prevention and control of industrial accidents
Dr. Daoyuan Sun

E-Mail Website
Guest Editor
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Interests: risk assessment; accident analysis and evaluation; prevention and control of induced accident
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Industrialization plays an important role in the development of society and the economy. However, the promotion of industrialization is seriously restricted by frequent industrial accidents all over the world. Hence, accident risk prevention and control are necessary for the safety management of industrial accidents, which can further contribute to health and safety at work. When it comes to the exploration of industrial accident risk, investigations related to process industry, mineral industry and manufacturing industry should be involved. Risk analysis and assessment are the foundation of industrial accident risk prevention and control. It has achieved great progress and development in the past decade or so. In order to continuously improve the scientificity and effectiveness, numerous problems that urgently need to be solved, for example, how to accurately make quantitative risk assessment (QRA) of industrial accident, how to make dynamic early warnings of a potential accident, how to visualize evaluation results by regional risk assessment and how to develop and improve the theoretical basis of risk analysis methods for industrial accident. Original and innovative research papers involved in new theories, new methodologies, new techniques, new concepts, new approaches and new thinking paradigms addressing these topics are invited for this Special Issue.

Dr. Fang Yan
Dr. Daoyuan Sun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • industrial accident
  • process industry
  • mineral industry
  • manufacturing industry
  • system safety
  • occupational safety and health
  • risk analysis
  • risk assessment
  • safety management

Published Papers (2 papers)

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Research

18 pages, 2669 KiB  
Article
Information Delayering Safety Management (IDSM): A New Method of System Safety in Urgent Situations Needs to Be Established
by Yu Lei, Guirong Zhang, Xiuping Liao and Wei Feng
Int. J. Environ. Res. Public Health 2023, 20(4), 3122; https://doi.org/10.3390/ijerph20043122 - 10 Feb 2023
Cited by 1 | Viewed by 1377
Abstract
Organizational safety decisions rely heavily on safety information in today’s data-driven era, but there is a significant danger of information distortion that can compromise system safety. To address the issue of information distortion and enhance system safety, a new approach called information delayering [...] Read more.
Organizational safety decisions rely heavily on safety information in today’s data-driven era, but there is a significant danger of information distortion that can compromise system safety. To address the issue of information distortion and enhance system safety, a new approach called information delayering safety management (IDSM) has been developed and implemented. The IDSM method combines delayering management mode and graph theory to study the relationship between information distortion management and delayering management. By using the delayering mode as a theoretical foundation for safety information management, information distortion can be reduced. The implementation of this approach from a graph theory perspective has been tested using a case study and has been proven to effectively enhance the reliability of safety information and ensure system safety. The minimum control set of the directed graph algorithm can be used to realize the whole network management of safety information distortion. The amount of safety information and signal noise can be controlled by adjusting connectivity, and safety information distortion can be regulated through the adjustment of structural holes and flow direction. Overall, IDSM offers a new, effective method for accident analysis and safety management, allowing safety professionals to make informed decisions based on robust advanced evidence. Full article
(This article belongs to the Special Issue Current Insights in Industrial Accident Risk Analysis and Assessment)
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18 pages, 5772 KiB  
Article
Intelligent Safety Ergonomics: A Cleaner Research Direction for Ergonomics in the Era of Big Data
by Longjun Dong and Jiachuang Wang
Int. J. Environ. Res. Public Health 2023, 20(1), 423; https://doi.org/10.3390/ijerph20010423 - 27 Dec 2022
Cited by 2 | Viewed by 2686
Abstract
Safety ergonomics is an important branch of safety science and environmental engineering. As humans enter the era of big data, the development of information technology has brought new opportunities and challenges to the innovation, transformation, and upgrading of safety ergonomics, as the traditional [...] Read more.
Safety ergonomics is an important branch of safety science and environmental engineering. As humans enter the era of big data, the development of information technology has brought new opportunities and challenges to the innovation, transformation, and upgrading of safety ergonomics, as the traditional safety ergonomics theory has gradually failed to adapt to the need for safe and clean production. Intelligent safety ergonomics (ISE) is regarded as a new direction for the development of safety ergonomics in the era of big data. Unfortunately, since ISE is an emerging concept, there is no research to clarify its basic problems, which leads to a lack of theoretical guidance for the research and practice of ISE. In order to solve the shortcomings of traditional safety ergonomics theories and methods, first of all, this paper answers the basic questions of ISE, including the basic concepts, characteristics, attributes, contents, and research objects. Then, practical application functions of ISE are systematically clarified. Finally, following the life cycle of the design, implementation, operation, and maintenance of the system, it ends with a discussion of the challenges and application prospects of ISE. The conclusion shows that ISE is a cleaner research direction for ergonomics in the era of big data, that it can deepen the understanding of humans, machines, and environment systems, and it can provide a new method for further research on safety and cleaner production. Overall, this paper not only helps safety researchers and practitioners to correctly understand the concept of intelligent safety ergonomics, but it will certainly inject energy and vitality into the development of safety ergonomics and cleaner production. Full article
(This article belongs to the Special Issue Current Insights in Industrial Accident Risk Analysis and Assessment)
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