首页> 外文期刊>Professional safety >Fatality Prevention: Findings From the 2012 Forum
【24h】

Fatality Prevention: Findings From the 2012 Forum

机译:预防致命性:2012年论坛的调查结果

获取原文
获取原文并翻译 | 示例
           

摘要

The pressing issue for many industries is that while overall OSHA injury and illness rates have dropped dramatically in recent years, FSIs have not experienced a similar decline. To address this dilemma, several themes were common among the presentations, best practice showcases and breakout sessions. The major theme was that to prevent FSIs, an organization must look at all of its incidents and assess their potential for leading to FSIs. At this forum, many presenters and organizations advocated tracking potential FSIs as an important new performance measure. This measure has both lagging and leading characteristics. Not all incidents are equal in their FSI potential, and it appears that reducing minor incidents will not necessarily reduce serious and fatal incidents proportionately. Thus, the traditional Heinrich model and supporting principles have been determined to be descriptive, but not predictive, in nature. Once potential FSIs are identified, an organization can determine classes/characteristics of activities or situations associated with these potential FSIs, and investigate mitigation options. These classes/characteristics are precursors to FSIs and must be aggressively managed.
机译:对于许多行业而言,紧迫的问题是,尽管近年来OSHA的总体伤害和疾病发生率急剧下降,但FSI并没有经历类似的下降。为了解决这一难题,在演示,最佳实践展示和分组讨论中共有几个主题。主要主题是,为了防止FSI,组织必须查看其所有事件并评估其导致FSI的可能性。在这个论坛上,许多演讲者和组织都提倡跟踪潜在的FSI,作为一项重要的新绩效指标。这项措施既落后又领先。并非所有事件在FSI方面的潜力都相等,而且看来减少次要事件并不一定能按比例减少严重和致命的事件。因此,传统的海因里希模型和支持原则已被确定为本质上具有描述性而非预测性。一旦确定了潜在的FSI,组织就可以确定与这些潜在的FSI相关的活动或情况的类别/特征,并研究缓解措施。这些类别/特征是FSI的前身,必须积极管理。

著录项

  • 来源
    《Professional safety》 |2013年第7期|41-49|共9页
  • 作者单位

    Safety Sciences Department at Indiana University of Pennsylvania (IUP);

    IUP and chairs the university's Safety Sciences Department;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号