详细了解名单设计:比较西澳大利亚采矿业的飞进飞出名单模式
Tim D Smithies1,2, Grace E Vincent1, Sally A Ferguson1
1Appleton Institute and School of Health, Medical and Applied Sciences, Central Queensland University, 44 Greenhill Road, Wayville, Adelaide, South Australia 5034, Australia.
日程安排对工人的福利和安全产生影响. 这项研究分析了西澳大利亚采矿飞进飞出操作中的疲劳风险,揭示了轮班时间和通勤时间如何影响疲劳水平.
科学领域:
- 职业健康和安全问题 职业健康和安全问题
- 人类因素工程 人类因素工程
- 矿业运营管理 矿业运营管理
背景情况:
- 有效的疲劳风险管理系统对于工人的健康,安全和生产力至关重要.
- 时间表安排决策往往缺乏足够的数据,导致潜在的疲劳相关风险.
- 飞进飞出 (FIFO) 操作由于延长的工作时间和旅行而带来了独特的挑战.
研究的目的:
- 为西澳大利亚矿业FIFO运营中共同的日程表提供客观的疲劳风险数据.
- 分析轮班开始/结束时间和通勤时间对疲劳的影响.
- 为优化FIFO日程表的数据驱动决策提供信息.
主要方法:
- 在西澳大利亚确定了十个常见的FIFO名单时间表.
- 分析了150种时间表,班次时间和通勤时间的组合.
- 使用疲劳审计InterDyne (FAID®) 生物数学模型来预测疲劳风险.
主要成果:
- 较早的班次开始/结束时间增加了白天班次的疲劳风险,但降低了夜班的疲劳风险.
- 晚班后的通勤,特别是晚班的通勤,显著增加了疲劳风险.
- 轮班开始/结束时间和通勤时间是影响整体疲劳风险的关键因素.
结论:
- 该研究提供了基于数据的FIFO轮班和西澳大利亚矿业特定的日程表的数据驱动比较.
- 调查结果提供了关于管理与全球FIFO运营相关的疲劳风险的见解.
- 结果应该指导,而不是规定,日程安排决策以提高工人的安全和福利.
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