지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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Occupational accident rate in Korea has occurred most frequently in the service industry, manufacturing industry, and construction industry. However, forestry, agriculture, and fishing are in a blind spot in policies of occupational safety and health because they are usually under 50 workers. So these industries are very important in order to prevent of industrial accidents because of poor safety management. Above all, accurate prediction of the occupational accident rate and fatal accident rate in the forestry is required to prevent the occupational accidents systematically and continuously. Therefore, this paper proposes very efficient policies for prevention of industrial accidents with these prediction results in the forestry. Also, this paper describes the optimal occupational accident rate and fatal accident rate by minimization of the sum of square errors (SSE) among regression analysis method (RAM), exponential smoothing method (ESM), double exponential smoothing method (DESM), auto-regressive integrated moving average (ARIMA) model, proposed analytic function model (PAFM) by static method, and, kalman filtering model (KFM) by dynamic method with existing accident data in forestry. In this paper, microsoft foundation class (MFC) software of Visual Studio 2008 was used to minimize SSE of the occupational accident rate and the fatal accident rate. The minimum value of SSE in the forestry was found in 2.8822 and 6.0055 in the occupational accident rate and fatal accident rate, respectively. Accordingly, ARIMA model in the forestry are ideally applied in the accident rate and fatal accident rate. Finally, this paper provides very efficient strategic method in order to prevent the accident of forestry through the trend of determined prediction model and analysis of accident data.
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참고문헌 (9)
참고문헌 신청
강영식 / 2017 / 건설업에서 재해율과 업무상 사고 사망의 예측 및 평가 / 산업경영시스템학회지 40(1):87~94
강영식 / 2018 / 서비스 산업에서 동적 모형을 고려한 업무상 사고 사망과재해율 예측 / 대한설비관리학회지 23(1):39~48
강영식 / 2015 / 제조업에서 업무상사고 사망과 재해율 예측에 관한 연구 / 대한설비관리학회지 20(2):29~36
Kang, Y. S. / 1997 / A Comparative Analysis of Forecasting Models and its application / Journal of the Society of Korea Industrial and Systems Engineering 20(44):243~255
Choi, S. I. / 1992 / Establishment of Zero Accident Goal Period Based on Time Serious Analysis of Accident Tendency / Journal of the Korean Society of Safety 7(2):5~13
강영식 / 2018 / 서비스 산업에서 동적 모형을 고려한 업무상 사고 사망과재해율 예측 / 대한설비관리학회지 23(1):39~48
강영식 / 2015 / 제조업에서 업무상사고 사망과 재해율 예측에 관한 연구 / 대한설비관리학회지 20(2):29~36
Kang, Y. S. / 1997 / A Comparative Analysis of Forecasting Models and its application / Journal of the Society of Korea Industrial and Systems Engineering 20(44):243~255
Choi, S. I. / 1992 / Establishment of Zero Accident Goal Period Based on Time Serious Analysis of Accident Tendency / Journal of the Korean Society of Safety 7(2):5~13
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