装配线上体力工人的人力可靠性模型

Y. A. Báez, Manuel A. Rodriguez, Jorge Limon, Diego A. Tlapa
{"title":"装配线上体力工人的人力可靠性模型","authors":"Y. A. Báez, Manuel A. Rodriguez, Jorge Limon, Diego A. Tlapa","doi":"10.1109/IEEM.2014.7058878","DOIUrl":null,"url":null,"abstract":"This study presents the construction of a human reliability model for assembly line manual workers, using Cox's Proportional Risk model. Nine factors were identified in 120 assembly line operators using psychometric tests. Subsequently, the factors of stress, motivation, memory, and personality were identified, using a multiple linear regression analysis, as those that significantly contribute to the occurrence of human error and, together, are considered as the worker's operational environment. The parameters were defined for the distribution of base failures for modeling the rate of human risk. The model obtained enables the establishment of the contribution of each factor to the probability that human errors will be committed within a determined period of time.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Model of human reliability for manual workers in assembly lines\",\"authors\":\"Y. A. Báez, Manuel A. Rodriguez, Jorge Limon, Diego A. Tlapa\",\"doi\":\"10.1109/IEEM.2014.7058878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents the construction of a human reliability model for assembly line manual workers, using Cox's Proportional Risk model. Nine factors were identified in 120 assembly line operators using psychometric tests. Subsequently, the factors of stress, motivation, memory, and personality were identified, using a multiple linear regression analysis, as those that significantly contribute to the occurrence of human error and, together, are considered as the worker's operational environment. The parameters were defined for the distribution of base failures for modeling the rate of human risk. The model obtained enables the establishment of the contribution of each factor to the probability that human errors will be committed within a determined period of time.\",\"PeriodicalId\":318405,\"journal\":{\"name\":\"2014 IEEE International Conference on Industrial Engineering and Engineering Management\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Industrial Engineering and Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM.2014.7058878\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2014.7058878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文采用Cox比例风险模型构建装配线手工工人的人力可靠性模型。通过心理测试,对120名装配线操作员进行了九个因素的鉴定。随后,使用多元线性回归分析,确定了压力,动机,记忆和个性等因素,因为这些因素对人为错误的发生有重大贡献,并且一起被认为是工人的操作环境。定义了基本故障分布的参数,用于模拟人类风险率。所获得的模型能够建立每个因素对在确定的时间段内发生人为错误的概率的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model of human reliability for manual workers in assembly lines
This study presents the construction of a human reliability model for assembly line manual workers, using Cox's Proportional Risk model. Nine factors were identified in 120 assembly line operators using psychometric tests. Subsequently, the factors of stress, motivation, memory, and personality were identified, using a multiple linear regression analysis, as those that significantly contribute to the occurrence of human error and, together, are considered as the worker's operational environment. The parameters were defined for the distribution of base failures for modeling the rate of human risk. The model obtained enables the establishment of the contribution of each factor to the probability that human errors will be committed within a determined period of time.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信