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The Use of System Dynamics Group Model Building for Analysing Event Causality within the Nuclear Industry

机译:系统动态集团模型建筑的使用分析核工业内事件因果关系

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Currently the most frequently used tools for investigating and learning from industrial accidents are based on linear, reductionist models of event causality. It has been suggested that complex socio-technical systems exhibit non-linear behaviour, incompatible with these approaches. An alternative approach based on system dynamics group model building is proposed and investigated within the context of the civil nuclear industry. The success and feasibility of the approach is assessed though the analysis of a case study event by a group of industrial experts previously unfamiliar with system dynamics. A selection of the models produced are discussed. The investigation demonstrates the feasibility of the approach and its potential to provide additional insights and learning. A possible archetypal structure is also identified and described indicating the possibility of the discovery of further archetypes through this approach which could then be shared for contextual learning between organizations and industries.
机译:目前,用于研究和学习的最常用的工具从工业事故中学习是基于线性的,减少事件因果关系的模型。有人建议复杂的社会技术系统表现出非线性行为,与这些方法不相容。提出了一种基于系统动态组模型建设的替代方法,并在民用核业的背景下调查。虽然通过先前不熟悉系统动态的一组工业专家的案例研究活动分析了这种方法的成功和可行性。讨论产生的模型的选择。调查表明,该方法的可行性及其提供额外见解和学习的潜力。还可以识别和描述可能的原型结构,并描述了通过这种方法发现进一步的原型的可能性,然后可以共享组织和行业之间的上下文学习。

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