Issue |
MATEC Web Conf.
Volume 354, 2022
10th International Symposium on Occupational Health and Safety (SESAM 2021)
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Article Number | 00002 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/matecconf/202235400002 | |
Published online | 06 January 2022 |
Quantitative risk assessment and safety databases in Romanian coal mining: preliminary systematic approach
University of Petroşani, Faculty of Mines, 332006 Petroşani, Romania
* Corresponding author: roland_moraru@yahoo.com
Risk management is becoming increasingly more complex. Risk assessment, approached quantitatively, requires a factual database to define the likelihood of adverse health effects of workplace-related injuries and exposures, and it attempts to balance scientific knowledge with concerns of staff, investigators and administration. Practical guidance should be provided for Romanian coal mining companies to make progress in risk assessment process. Guidance is given on how to effectively introduce quantitative risk assessment in mining industry, the main goal being to highlight that the most valuable resource remains experience gained by effectively performing the process. Analyzing how various parameters are described/used, the paper aims to establish the place and role of quantitative risk analysis mining. Possibilities of developing safety/reliability database in coal mining are investigated. The block diagram describing the conceptual structure of a database on failures, safety of equipment and workers in the mining industry was developed. Because mining relies heavily on complex technologies - permanent mining facilities and large mobile equipment and support services - often located in isolated and hostile environments, the implementation of quantitative risk analysis and the development of a realistic database could be considered as a resilience business strategy and conversion of available knowledge into management actions.
© The authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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