Exploring the Addition of Torso Flexion to the LIFFT Analysis Tool

M. Fehmi Capanoglu, Menekse S. Barim, Richard F. Sesek, Robert M. Sesek, Mark C. Schall, Sean Gallagher
{"title":"Exploring the Addition of Torso Flexion to the LIFFT Analysis Tool","authors":"M. Fehmi Capanoglu, Menekse S. Barim, Richard F. Sesek, Robert M. Sesek, Mark C. Schall, Sean Gallagher","doi":"10.1177/21695067231199687","DOIUrl":null,"url":null,"abstract":"The Lifting Fatigue Failure Tool (LiFFT) is an ergonomic assessment tool based on fatigue failure theory that uses the lower back load moment to evaluate the risk associated with multi-task jobs involving manual lifting. The current LiFFT tool does not account for the moment associated with flexing the lifter's torso. This study explores the incorporation of torso flexion into the LiFFT model while maintaining the relative simplicity of the original LiFFT tool. Automotive manufacturing workers (n=607) performing various tasks were included in the study. Non-manual material handling (MMH) tasks with no MMH load moment were considered \"zero\" risk. The moment associated with trunk flexion was considered if a worker flexed at the torso during non-MMH assembly tasks. The torso moment from bending was computed using the \"average\" worker height and weight for the data set used in this study. The proposed model yielded higher odds ratios than the original model.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"31 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/21695067231199687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Lifting Fatigue Failure Tool (LiFFT) is an ergonomic assessment tool based on fatigue failure theory that uses the lower back load moment to evaluate the risk associated with multi-task jobs involving manual lifting. The current LiFFT tool does not account for the moment associated with flexing the lifter's torso. This study explores the incorporation of torso flexion into the LiFFT model while maintaining the relative simplicity of the original LiFFT tool. Automotive manufacturing workers (n=607) performing various tasks were included in the study. Non-manual material handling (MMH) tasks with no MMH load moment were considered "zero" risk. The moment associated with trunk flexion was considered if a worker flexed at the torso during non-MMH assembly tasks. The torso moment from bending was computed using the "average" worker height and weight for the data set used in this study. The proposed model yielded higher odds ratios than the original model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
探索在lift分析工具中加入躯干屈曲
起重疲劳失效工具(lift)是一种基于疲劳失效理论的人机工程学评估工具,它使用较低的后载荷力矩来评估涉及人工起重的多任务作业相关的风险。当前的升降机工具不考虑与弯曲升降机躯干相关的时刻。本研究探讨将躯干屈曲纳入LiFFT模型,同时保持原始LiFFT工具的相对简单性。执行各种任务的汽车制造业工人(n=607)被纳入研究。无负载力矩的非人工物料搬运(MMH)任务被认为是“零”风险。如果一个工人在非mmh装配任务中弯曲躯干,则考虑与躯干弯曲相关的时刻。躯干弯曲力矩是使用本研究中使用的数据集的“平均”工人身高和体重来计算的。提出的模型比原来的模型产生更高的优势比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Is vitamin A an antioxidant? Investigating Human Physiological Responses to Work-Related Stress Phishing in Social Media: Investigating Training Techniques on Instagram Shop Factor Analysis of a Generalized Video Game Experience Measure A Completion Rate Conundrum: Reducing bias in the Single Usability Metric
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1