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A systematic approach to identify the hierarchical structure of accident factors with grey relations

机译:用灰色关联识别事故因素层次结构的系统方法。

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摘要

Work safety represents a complex systems-phenomenon and should be analyzed with systematic approaches. Hierarchies are fundamental in the study of complex systems. By integrating Grey Relational Analysis and Interpretive Structural Modeling, this paper proposes a quantitative approach which permits an automatic development of the graphic hierarchy of accident factors on the basis of their behavior sequences. The accident factors are identified from the law-enforcement checklists. With Grey Relational Analysis, the relations among the accident factors are calculated based on their time series, which are generated from law-enforcement checklist records. By matrix operation, the grey reachability matrix of these factors is derived from the grey adjacency matrix which is composed of the grey relations. Following the steps of Interpretive Structural Modeling, the reachability matrix is partitioned into different levels by algebraic manipulations, and the factors are arranged in a hierarchical structure. The resulting hierarchy provides a holistic scenario of accident factors, which helps to effectively trace backward and forward the related accident factors in spot check, and serves as a theoretical foundation to conduct comprehensive treatments to eliminate accident factors. An example with the data from Xicheng District Administration of Work Safety is illustrated to show how the proposed approach works.
机译:工作安全是一个复杂的系统现象,应采用系统方法进行分析。层次结构是研究复杂系统的基础。通过将灰色关联分析和解释性结构建模相结合,本文提出了一种定量方法,该方法可以根据事故行为的行为顺序自动开发事故因素的图形层次。事故因素是从执法清单中确定的。使用灰色关联分析,事故因子之间的关系是根据其时间序列计算的,这些时间序列是从执法检查清单记录中生成的。通过矩阵运算,这些因素的灰色可及性矩阵是从由灰色关系组成的灰色邻接矩阵中得出的。遵循解释性结构建模的步骤,通过代数操作将可到达性矩阵划分为不同级别,并将因素按层次结构排列。由此产生的层次结构提供了事故因素的整体场景,有助于在抽查中有效地追溯和追溯相关事故因素,并为进行全面处理以消除事故因素提供理论基础。以西城区安全生产监督管理局的数据为例,说明了该方法的工作原理。

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