在糖生产过程中识别和防止人为错误:使用HTA,HEC和PHEA技术的多阶段方法
Fatemeh Musavi1, Reza Hekmatshoar1, Majid Fallahi1,2
1Department of Occupational Health and Safety Engineering, Faculty of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Heliyon
|May 6, 2024
概括
识别糖生产中的人为错误至关重要. 像人类错误计算器 (HEC) 和预测性人类错误分析 (PHEA) 这样的技术有效地确定风险,并为缓解策略提供信息.
科学领域:
- 工业安全 工业安全 工业安全
- 工艺工程的过程工程.
- 人类因素工程 人类因素工程
背景情况:
- 人类错误在工业环境中构成重大风险,特别是在糖生产等复杂工艺中.
- 有效的风险评估需要选择适当的方法来识别和量化潜在的人为错误.
研究的目的:
- 在糖生产过程中识别和分析人为错误.
- 评估层次任务分析 (HTA),人为错误计算器 (HEC) 和预测人为错误分析 (PHEA) 的有效性,以评估风险.
主要方法:
- 一个采用多阶段方法的横截面研究:HTA,HEC和PHEA.
- HTA用于绘制任务和子任务的地图;HEC计算了错误概率;PHEA确定了特定的错误类型.
主要成果:
- 在14个糖生产单位中,HTA确定了35个任务和83个子任务.
- 在特定任务中,HEC表示人为错误的概率很高 (80%,50%).
- PHEA发现行动错误 (50%) 是发现错误中最常见的类型.
结论:
- HEC和PHEA是有效的工具,用于识别和分析工艺和食品工业的人为错误.
- 个人技能,任务的重复性和重要性是导致人类错误的关键因素.
- 建议包括加强培训,提高操作员意识,以及明确的程序说明,以减轻错误.
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