分析废钢炼钢厂的事故趋势和安全因素:以印度旁遮普为例(2017-2022)。

IF 1.6 4区 医学 Q3 ERGONOMICS
Sahil Goyal, Sudhir Kumar Singh, Haripada Bhunia
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引用次数: 0

摘要

本研究以印度旁遮普邦的废钢炼钢厂为例,确定并分析了导致事故的主要因素。利用波士顿方阵、帕累托图、石川图和基于泊松分布的控制图分析对2017-2022年不同废钢炼钢厂收集的数据进行分析。结果显示,致命事故约占总事故的13%。死亡事故最少的是夏季,与季风季节和冬季相比,约占总事故的17%。非致命事故的最大贡献来自误工伤害,约占所有非致命事故的85%。此外,与2017年相比,该研究表明,2022年非致命和致命事故分别减少了78%和45%。这一下降可能是由于监管措施的效力和影响、从过去的事故中获得的知识以及这些以废料为基础的炼钢设施的员工意识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing accident trends and safety factors in scrap-based steelmaking plants: a case study from Punjab, India (2017-2022).

This study identifies and analyses the primary elements contributing to accidents in scrap-based steelmaking plants in the Punjab state of India as a typical case study. The collected data for 2017-2022 from different scrap-based steelmaking plants were analysed utilizing Boston square matrix, Pareto chart, Ishikawa diagram and Poisson-distribution-based control chart analysis. The results revealed that fatal accidents contributed to around 13% of total accidents. The least fatal accidents are observed in the summer, around 17% of total accidents compared to the monsoon and winter seasons. The maximum contribution in non-fatal accidents is from lost-time injury, at around 85% of total non-fatal accidents. Moreover, compared to 2017, this study demonstrated a 78 and 45% decrease in non-fatal and fatal accidents in 2022. This decrease may be attributed to the efficacy and influence of regulatory measures, the acquisition of knowledge from past accidents and employee awareness in these scrap-based steelmaking facilities.

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来源期刊
CiteScore
4.80
自引率
8.30%
发文量
152
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