# Systematic strategies for the third industrial accident prevention plan in Korea
> Kang Y.S.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_84871843187
Jurnal / Konferensi: Industrial Health
Tahun terbit: 2012
DOI: https://doi.org/10.2486/indhealth.2012-0048
ISSN: 00198366
Kuartil SJR: Q3
Citations: 5

## Authors
- Kang Y.S.

## Abstract
To minimize industrial accidents, it's critical to evaluate a firm's priorities for prevention factors and strategies since such evaluation provides decisive information for preventing industrial accidents and maintaining safety management. Therefore, this paper proposes the evaluation of priorities through statistical testing of prevention factors with a cause analysis in a cause and effect model. A priority matrix criterion is proposed to apply the ranking and for the objectivity of questionnaire results. This paper used regression method (RA), exponential smoothing method (ESM), double exponential smoothing method (DESM), autoregressive integrated moving average (ARIMA) model and proposed analytical function method (PAFM) to analyze trends of accident data that will lead to an accurate prediction. This paper standardized the questionnaire results of workers and managers in manufacturing and construction companies with less than 300 employees, located in the central Korean metropolitan areas where fatal accidents have occurred. Finally, a strategy was provided to construct safety management for the third industrial accident prevention plan and a forecasting method for occupational accident rates and fatality rates for occupational accidents per 10,000 people.

## Keywords
- Exponential smoothing
- Autoregressive integrated moving average
- Ranking (information retrieval)
- Computer science
- Operations research
- Risk analysis (engineering)
- Operations management
- Engineering
- Business
- Time series
- Computer vision
- Machine learning

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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