文章基本信息

标题：A Study on Industrial Accident Rate Forecasting and Program Development of Estimated Zero Accident Time in Korea
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作者：Tae-gu KIM ; Young-sig KANG ; Hyung-won LEE 等
期刊名称：Industrial Health
印刷版ISSN：0019-8366
电子版ISSN：1880-8026
出版年度：2011
卷号：49
期号：1
页码：56-62
DOI：10.2486/indhealth.MS1174
出版社：National Institute of Occupational Safety and Health
摘要：To begin a zero accident campaign for industry, the first thing is to estimate the industrial accident rate and the zero accident time systematically. This paper considers the social and technical change of the business environment after beginning the zero accident campaign through quantitative time series analysis methods. These methods include sum of squared errors (SSE), regression analysis method (RAM), exponential smoothing method (ESM), double exponential smoothing method (DESM), auto-regressive integrated moving average (ARIMA) model, and the proposed analytic function method (AFM). The program is developed to estimate the accident rate, zero accident time and achievement probability of an efficient industrial environment. In this paper, MFC (Microsoft Foundation Class) software of Visual Studio 2008 was used to develop a zero accident program. The results of this paper will provide major information for industrial accident prevention and be an important part of stimulating the zero accident campaign within all industrial environments.
关键词：Zero accident campaign;SSE;Proposed analytic function method;Accident rate;Zero accident time;Achievement probability;Industrial accident prevention