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An improved alternative queuing method for occupational health and safety risk assessment and its application to construction excavation

机译:一种改进的职业健康与安全风险评估方法及其在施工挖掘中的应用

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摘要

Occupational Health and Safety (OHS) is a systematic and interdisciplinary activity to identify, analyze and reduce the potential safety and health hazards of workers caused by the activities in workplace. When dealing with an OHS risk analysis problem, how to assess the risk of occupational hazards is a crucial step and a big challenge. In this paper, we aim to develop a new OHS risk assessment model by integrating Picture Fuzzy Sets (PFSs) and Alternative Queuing Method (AQM) to assess and rank the risk of occupational hazards for corrective actions. To this end, the PFSs are utilized to address the vague and uncertain assessment information provided by experts and an improved AQM is introduced to acquire the risk priority of the recognized occupational hazards. Furthermore, we extend the Best Worst Method (BWM) to derive the relative weights of risk criteria based on picture fuzzy information. Finally, a practical example of excavation in a construction yard is provided to illustrate the feasibility and superiority of our proposed OHS risk assessment model. The results indicate that the new risk assessment method is able to produce more reliable risk ranking results of occupational hazards, and provides a practical and effective way for risk analysis in OHS.
机译:职业健康和安全(OHS)是一个系统和跨学科的活动,以确定,分析和减少工作场所活动造成的工人的潜在安全和健康危害。在处理ohs风险分析问题时,如何评估职业危害的风险是一个至关重要的步骤和大挑战。在本文中,我们的目标是通过集成图像模糊集(PFSS)和替代排队方法(AQM)来开发新的OHS风险评估模型,以评估和排列纠正措施的职业危害风险。为此,PFSS用于解决专家提供的模糊和不确定的评估信息,并引入了改进的AQM,以获取认可职业危害的风险优先级。此外,我们扩展了最佳的最佳方法(BWM),以基于图像模糊信息导出风险标准的相对权重。最后,提供了建筑院子中挖掘的实际示例,以说明我们所提出的ohs风险评估模型的可行性和优越性。结果表明,新的风险评估方法能够产生更可靠的风险排名职业危害,并为OHS中的风险分析提供了一种实用有效的方法。

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