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用模糊的Fine-Kinney方法进行风险评估,用于在金属行业运营的企业
Tijen Över Özçelik1, Ayten Yilmaz Yalciner1, Mehmet Cetinkaya1
1Sakarya University, Sakarya, Turkey.
International journal of occupational safety and ergonomics : JOSE
|February 12, 2025
概括
本研究使用模糊逻辑方法加强了职业风险评估,改善了金属行业的工作场所健康和安全. 这种新方法比传统技术提供了更现实的结果.
科学领域:
- 职业健康和安全问题 职业健康和安全问题
- 风险管理 风险管理
- 工业工程 工业工程 工业工程
背景情况:
- 传统的职业风险评估方法,如Fine-Kinney方法,在处理输入不确定性方面存在局限性.
- 现有的模型经常与中间值扎,导致风险评估不那么精确.
- 金属行业的职场健康与安全需要强大而准确的风险评估工具.
研究的目的:
- 通过应用模糊逻辑方法,加强金属行业的职业风险评估.
- 通过结合中间值来解决传统风险评估方法的缺陷.
- 开发一个更细微和准确的危险评估系统,以提高工作场所的安全.
主要方法:
- 一个模糊的逻辑模型被开发并与Fine-Kinney方法集成,创建了一个模糊的Fine-Kinney模型.
- 该模型利用概率,暴露和后果作为输入,以生成风险得分作为输出.
- 开发的模糊的Fine-Kinney模型应用于252种不同的职业风险场景.
主要成果:
- 模糊逻辑方法成功地结合了中间值,减少了输入不确定性.
- 模糊模型的风险分数输出与使用可比值时的传统Fine-Kinney方法一致.
- 与传统方法相比,模糊的Fine-Kinney模型提供了更细致和更现实的风险评估.
结论:
- 模糊逻辑为职业风险评估提供了显著的改进,特别是在金属行业.
- 改进后的模型可以更准确地评估工作场所的危险,从而改善安全管理.
- 这种方法有助于更有效地识别和减轻工业环境中的风险.
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