Development of a functional model which integrates human factors, safety management systems and wider organisational issues
Development of a functional model which integrates human factors, safety management systems and wider organisational issues
复制标题
DOI：
10.1016/j.ssci.2006.08.019
复制
发表时间：
2008-03
期刊：
影响因子：
6.1
通讯作者：
L. Bellamy;T. Geyer;J. Wilkinson
中科院分区：
文献类型：
--
作者：
L. Bellamy;T. Geyer;J. Wilkinson
联合王国健康和安全执行局危险设施局（HID）有专家视察员，他们组成一个小组，支持对《重大事故危险控制条例》（COMAH）所涵盖的重大危险化学品场所进行评估和视察。本文介绍了一个实用的整体模型，以帮助关键利益相关者（检查员，化学公司）了解如何人为因素，安全管理体系和更广泛的组织问题的发展准备工作。这个过程是将这三个领域分解成更简单的组成部分（分类法），并将这些更小的组成部分用作集成重建的构建块。为了指导重大危险源背景的重建，分类法被用来分析一个小样本的重大化学品事故。结果被用来寻找逻辑模式的协会，可以形成一个基础，从中制定进一步的指导原则的整合。这个想法是，一旦确定，模式可以在应用的检查和审计环境中使用。如果在实践中可以发现这些模式，它们可以用来识别可能引发重大事故的弱点。同样，这些模式可用于在事故调查期间了解事故原因。本文介绍了关键概念和发展过程。在这项工作中提出的模型尚未得到验证。
The UK Health and Safety Executive’s Hazardous Installations Directorate (HID) has specialist inspectors who make up a team that support the assessment and inspection of major hazard chemical sites covered by the Control of Major Accident Hazards Regulations (COMAH). This paper describes preparatory groundwork for the development of a practical holistic model to help key stakeholders (inspectors, chemical companies) understand how human factors, safety management systems and wider organisational issues fit together. The process was to break down the three areas into simpler components (taxonomy) and to use these smaller components as building blocks in an integrated reconstruction. To guide the reconstruction for the major hazard context, the taxonomy was used to analyse a small sample of major chemical accidents. The results were used to look for logical patterns of associations which could form a basis from which to develop further guiding principles of integration. The idea is that, once identified, the patterns can be used in the applied contexts of inspection and auditing. If the patterns can be found in practice they can be used to identify weaknesses that could initiate major accidents. Similarly, the patterns can be used to understand accident causation during accident investigations. The paper describes the key concepts and the development process. The proposed model derived during this work has not yet been validated.