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http://dx.doi.org/10.14346/JKOSOS.2019.34.2.1

Evaluation of Severity Measures of Accidents Associated with Industrial Machines and Devices  

Choi, Gi Heung (Department of Mechanical Systems Engineering, Hansung University)
Publication Information
Journal of the Korean Society of Safety / v.34, no.2, 2019 , pp. 1-6 More about this Journal
Abstract
This study focuses on the evaluation of severity measures used for accidents associated with industrial machines and devices. In particular, duration of medical treatment, duration of work loss, number of deaths in an individual accident associated with industrial machines and devices are evaluated in various ways to assess the severity of the accident. The number of accidents with work loss of longer than 1 year as the severity measure and the number of accidents as the frequency measure appeared to be the most discriminating information and allow risk assessment based on these frequency and severity measures for grouping of industrial machines and devices. Results of such risk assessment further confirmed the re-classification of industrial machines and devices that are currently subject to safety certification (SC) and self-declaration of conformity (SDC) or selection of those machines and devices that are newly subject to SC and SDC.
Keywords
frequency of accident; industrial machines; risk assessment; safety certification; self-declaration of conformity; severity of accident;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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