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Identification of indifferent posture zones in RULA by sensitivity analysis
International Journal of Industrial Ergonomics ( IF 3.1 ) Pub Date : 2021-03-14 , DOI: 10.1016/j.ergon.2021.103123
Mangesh Joshi , Vishwas Deshpande

The paper aims primarily to study the sensitivity of Rapid upper limb assessment (RULA) and identification of insensitive and sensitive posture zones. The sensitivity analysis of RULA along with the ordinal regression analysis offer deeper insights into the methodology used for the assessment of posture. Full factorial design was divided into parts using a forward approach to access the sensitivity. One parameter was changed while keeping other parameters fixed to understand its effect on the output score. Combinations of posture where no change was observed and corresponding ranges were noted. Posture scores were also noted involving sudden jumps. Ordinal regression analysis was performed to identify the most influencing body variable and its weight in estimating the grand RULA score. The justification of the RULA methodology available in the existing literature is very limited. This paper demonstrates the need for understanding of RULA method among the researchers. With this paper, ergonomic practitioners can be made aware of insensitive and sensitive zones in posture assessment.



中文翻译:

通过灵敏度分析识别RULA中不同的姿势区

本文的主要目的是研究快速上肢评估(RULA)的敏感性以及不敏感和敏感姿势区的识别。RULA的敏感性分析以及序数回归分析为用于评估姿势的方法提供了更深刻的见解。使用前向方法将全因子设计分为多个部分,以获取敏感度。更改一个参数,同时保持其他参数不变,以了解其对输出分数的影响。没有观察到任何变化的姿势组合,并记录了相应的范围。姿势得分也被注意到涉及突然的跳跃。进行了序数回归分析,以确定最有影响力的身体变量及其权重,以估算RULA总体得分。现有文献中可用的RULA方法论的依据非常有限。本文证明了研究人员需要了解RULA方法。通过本文,可以使人体工程学从业人员在姿势评估中意识到不敏感和敏感的区域。

更新日期:2021-03-15
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