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Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method
Stochastic Environmental Research and Risk Assessment ( IF 3.9 ) Pub Date : 2021-02-27 , DOI: 10.1007/s00477-021-01995-1
Bahman Ramavandi , Amir Hossein Darabi , Mohsen Omidvar

Working in hot and humid environments can jeopardize the health and safety of the workers and reduce their efficiency. Different physical, environmental, and human factors can influence the risk level of working in these atmospheres. Therefore, the risk assessment of such atmospheres must be carried out from a holistic point of view. This paper aims to introduce a novel risk assessment and prioritization model, using hybrid AHP and VIKOR methods in a fuzzy environment. The AHP method was adopted to determine the importance (weight) of the risk influencing parameters. Also, the VIKOR as a compromise solution method was applied to rank the different working stations against the risk criteria. Fuzzy set theory was used to handle the inherent ambiguity and vagueness of the data encountered in the evaluation process. Furthermore, the fuzzy TOPSIS was adopted to further represent the efficacy of the proposed model. To demonstrate the applicability of the model, a small size foundry shop was selected as the real case and a sensitivity analysis was performed to confirm the validity of the model. The results revealed that the “Environment” has the most contribution to the risk level of hot environments (WE = 0.615). That is followed by “Temperature” (WDBT = 0.268), “Air velocity” (WAV = 0.170), “Safety training” (WST = 0.161), “Mean radiant intensity” (WMRT = 0.110), “Humidity” (WH = 0.066), “Seniority structure” (WSS = 0.063), “Work intensity” (WWI = 0.058), “PPE” (WPPE = 0.047), “Work nature” (WPPE = 0.034), and “ Work duration” (WT = 0.022), in sub-factors. Using the F-VIKOR method, the “melting furnace” workstation was determined as the compromise solution with the index value of Q = 1.



中文翻译:

通过综合模糊AHP-VIKOR方法对高温高湿环境进行风险评估

在炎热潮湿的环境中工作会危害工人的健康和安全,并降低其效率。不同的物理,环境和人为因素会影响在这些环境中工作的风险等级。因此,必须从整体的角度对这种气氛进行风险评估。本文旨在介绍一种在模糊环境中使用混合AHP和VIKOR方法的新型风险评估和优先级排序模型。采用层次分析法确定风险影响参数的重要性(权重)。此外,还采用了VIKOR作为折衷解决方案的方法,以根据风险标准对不同的工作站进行排名。模糊集理论用于处理评估过程中遇到的数据固有的模糊性和模糊性。此外,模糊TOPSIS被采用来进一步代表所提出模型的有效性。为了证明该模型的适用性,选择了一家小型铸造厂作为实际案例,并进行了敏感性分析以确认该模型的有效性。结果表明,“环境”对炎热环境的风险水平贡献最大(WE  = 0.615)。其次是“温度”(W DBT  = 0.268),“空气速度”(W AV  = 0.170),“安全培训”(W ST  = 0.161),“平均辐射强度”(W MRT  = 0.110),“湿度” ”(W H  = 0.066),“高级结构”(W SS  = 0.063),“工作强度”(W WI  = 0.058),“ PPE”(W PPE  = 0.047),“工作性质”(W PPE  = 0.034) ,以及“工作时间”(W T  = 0.022)(以子因子为单位)。使用F-VIKOR方法,将“熔化炉”工作站确定为折衷解决方案,其索引值为Q = 1。

更新日期:2021-02-28
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