Fuzzy risk assessment for mechanized underground coal mines in Turkey

Iphar, Melih; Cukurluoz, Ali Kivanc

doi:10.1080/10803548.2018.1426804

Cited by 35 publications

(18 citation statements)

References 36 publications

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“…For example, in work [121], the authors recognized risks in terms of operation, safety, geology, environment, finance, maintenance, repair, reliability, offer, and availability, and used preventative and mitigated controls to eliminate/reduce risks. In [122], this problem was analyzed with the use of a fuzzy logic-based safety evaluation method. However, in work [123], the authors proposed a method for risk assessment of mining machines, taking into account reliability and maintenance constraints.…”

Section: Thematic Analysis Of the Conducted Reviewmentioning

confidence: 99%

Risk Assessment Methods in Mining Industry—A Systematic Review

Tubis

Werbińska-Wojciechowska

Wroblewski

2020

Applied Sciences

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Recently, there has been a growing interest in the mining industry in issues related to risk assessment and management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies have indicated that risk in mining should be analyzed not only in the human factor aspect, but also in strategic (environmental impact) and operational ones. However, there is a lack of research on systematic literature reviews and surveys of studies that would focus on these identified risk aspects simultaneously. Therefore, the purpose of this article is to develop a literature review in the area of analysis, assessment and risk management in the mining sector, published in the last decade and based on the concept of a human engineering system. Following this, a systematic search was performed with the use of Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria were: (a) not older than 10 years, (b) article written in English, (c) publication type (scientific article, book, book chapter), (d) published in chosen electronic collections (Springer, Taylor and Francis, Elsevier, Science Direct, JSTOR). This resulted in the selection of the 94 most relevant papers in the area. First, the general bibliometric analysis was conducted. Later, the selected papers in this review were categorized into four groups and the critical review was developed. One of the main advantages of this study is that the results are obtained from different scientific sources/databases thanks to using a multi-search tool. Moreover, the authors identified the main research gaps in the area of the implementation of risk management in the mining industry.

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Section: Thematic Analysis Of the Conducted Reviewmentioning

confidence: 99%

Risk Assessment Methods in Mining Industry—A Systematic Review

Tubis

Werbińska-Wojciechowska

Wroblewski

2020

Applied Sciences

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“…The adverse environmental conditions of the Arctic zone, paired with the difficult labor conditions for the miners (such as polar nights, excessive noise and vibration levels and other), lead to the injury risks being higher compared to regions with more favorable conditions. In order to reduce the injury risks, the occupational health and safety systems at mining facilities need to be constantly improved upon, and the first step of this process is the assessment of labor safety conditions [20][21][22].…”

Section: Methodsmentioning

confidence: 99%

Risk-Based Methodology for Determining Priority Directions for Improving Occupational Safety in the Mining Industry of the Arctic Zone

Gendler

Prokhorova

2021

Resources

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Over the past 10 years, the mining industry of Russia has seen a greater than three-fold decrease in injury rates, thanks to the successful implementation of innovative labor safety technologies. Despite this, injury levels remain unacceptably high compared to the leading mining countries, which results in increased mining costs. For the mining areas of the Arctic Zone—unlike other regions located in areas with a more favorable climate—the injury rates are influenced not only by the underground labor conditions, but also by the adverse environmental factors. For the Russian Arctic zone, the overall injury risk is proposed to be calculated as the combined impact of occupational and background risk. In this article, we have performed correlation analysis of the overall injury risks in regions of the Arctic zone and regions with favorable climate conditions. Using the Kirov branch of “Apatit”, Joint-stock company (JSC) as an example, we have calculated the risks related specifically to occupational injury rates. We have constructed the relative injury risks and their changes over time and have developed a “basic injury rate matrix” that makes it possible to visualize the results of the comparative analysis of the injury rates on the company’s production sites and to determine priority avenues for improving the occupational safety and lowering the injury rates.

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“…The proper definition of linguistic variables is based on expert knowledge and depends on the industry type. The examples of the definition of linguistic variables for risk in the mining industry are given, e.g., in [ 48 , 49 ].…”

Section: Fuzzy-based Risk Analysis Methodsmentioning

confidence: 99%

“…The authors use the fuzzy reasoning approach and Mamdani fuzzy logic model developed in MATLAB’s fuzzy logic toolbox. In another work [ 49 ], the classical decision matrix risk assessment method is extended based on a fuzzy logic-based safety evaluation method implementation. The proposed approach is implemented in mechanized underground coal mines in Turkey.…”

Section: Fuzzy Theory In Mining Safety Problemsmentioning

confidence: 99%

Cyber-Attacks Risk Analysis Method for Different Levels of Automation of Mining Processes in Mines Based on Fuzzy Theory Use

Tubis

Werbińska-Wojciechowska

Góralczyk

et al. 2020

Sensors

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The rising automation level and development of the Industry 4.0 concept in the mining sector increase the risk of cyber-attacks. As a result, this article focuses on developing a risk analysis method that integrates Kaplan’s and Garrick’s approach and fuzzy theory. The proposed approach takes into account the level of automation of the operating mining processes. Moreover, it follows five main steps, including identifying the automation level in a selected mine, definition of cyber-attack targets, identification of cyber-attack techniques, definition of cyber-attack consequences, and risk ratio assessment. The proposed risk assessment procedure was performed according to three cyber-attack targets (databases, internal networks, machinery) and seven selected types of cyber-attack techniques. The fuzzy theory is implemented in risk parameter estimation for cyber-attack scenario occurrence in the mining industry. To illustrate the given method’s applicability, seven scenarios for three levels of mine automation are analyzed. The proposed method may be used to reveal the current cybersecurity status of the mine. Moreover, it will be a valuable guide for mines in which automation is planned in the near future.

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Fuzzy risk assessment for mechanized underground coal mines in Turkey

Cited by 35 publications

References 36 publications

Risk Assessment Methods in Mining Industry—A Systematic Review

Risk Assessment Methods in Mining Industry—A Systematic Review

Risk-Based Methodology for Determining Priority Directions for Improving Occupational Safety in the Mining Industry of the Arctic Zone

Cyber-Attacks Risk Analysis Method for Different Levels of Automation of Mining Processes in Mines Based on Fuzzy Theory Use

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