Background

Factors related to root causes can cause commonly occurring accidents such as falls, slips, and jammed injuries. An important means of reducing the frequency of occupational accidents in small- to medium-sized enterprises (SMSEs) of South Korea is to perform intensity analysis of the root cause factors for accident prevention in the cause and effect model like decision models, epidemiological models, system models, human factors models, LCU (life change unit) models, and the domino theory. Especially intensity analysis in a robot system and smart technology as Industry 4.0 is very important in order to minimize the occupational accidents and fatal accident because of the complexity of accident factors.

Methods

We have developed the modern cause and effect model that includes factors of root cause through statistical testing to minimize commonly occurring accidents and fatal accidents in SMSEs of South Korea and systematically proposed educational policies for accident prevention.

Results

As a result, the consciousness factors among factors of root cause such as unconsciousness, disregard, ignorance, recklessness, and misjudgment had strong relationships with occupational accidents in South Korean SMSEs.

Conclusion

We conclude that the educational policies necessary for minimizing these consciousness factors include continuous training procedures followed by periodic hands-on experience, along with perceptual and cognitive education related to occupational health and safety.

中文翻译：

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中小企业事故预防的根本原因因素的现代因果模型

背景

与根本原因相关的因素可能会导致常见的事故，例如跌倒、滑倒和卡住伤害。降低韩国中小企业（SMSEs）职业事故发生频率的一个重要手段是在因果模型（如决策模型、流行病学模型、系统模型、人为因素模型、LCU（生命变化单元）模型和多米诺骨牌理论。尤其是机器人系统和工业 4.0 等智能技术中的强度分析，由于事故因素的复杂性，对于最大限度地减少职业事故和致命事故非常重要。

方法

我们通过统计测试开发了包含根本原因因素的现代因果模型，以尽量减少韩国SMSE中常见的事故和致命事故，并系统地提出了事故预防教育政策。

结果

其结果是，意识因素中的意识因素，如无意识、忽视、无知、鲁莽和误判，与韩国SMSEs的职业事故密切相关。

结论

我们得出结论，最小化这些意识因素所必需的教育政策包括持续的培训程序，然后是定期的实践经验，以及与职业健康和安全相关的感知和认知教育。