Identification of components and parameters contributing to noise in transmission through the use of Shainin techniques

R. Mandloi, R. C. Gupta, N. Tiwari
{"title":"Identification of components and parameters contributing to noise in transmission through the use of Shainin techniques","authors":"R. Mandloi, R. C. Gupta, N. Tiwari","doi":"10.1504/IJSSCA.2019.10020036","DOIUrl":null,"url":null,"abstract":"Growing expectation from global market poses challenges to the manufacturing industries to provide the best quality products at a competitive price. Cost of poor quality has gone up significantly with the traditional approach of controlling the quality. Traditional approaches are not very effective in solving chronic quality issues. In order to meet up the global expectation, organisation needs to explore effective and fast approaches which utilise various advanced techniques to solve chronic quality issues. This paper demonstrates the systematic use of Shainin techniques to solve chronic quality problem of noise from automotive transmission. Transmission is a complex system having many subassemblies, components and each component in turn has multiple parameters contributing to noise makes transmission noise an extremely complex multi-factorial problem. Shainin techniques known as component search and paired comparison have been used sequentially to identify components and subsequently the parameters of components contributing to the noise in the transmission.","PeriodicalId":35430,"journal":{"name":"International Journal of Six Sigma and Competitive Advantage","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Six Sigma and Competitive Advantage","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSSCA.2019.10020036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 2

Abstract

Growing expectation from global market poses challenges to the manufacturing industries to provide the best quality products at a competitive price. Cost of poor quality has gone up significantly with the traditional approach of controlling the quality. Traditional approaches are not very effective in solving chronic quality issues. In order to meet up the global expectation, organisation needs to explore effective and fast approaches which utilise various advanced techniques to solve chronic quality issues. This paper demonstrates the systematic use of Shainin techniques to solve chronic quality problem of noise from automotive transmission. Transmission is a complex system having many subassemblies, components and each component in turn has multiple parameters contributing to noise makes transmission noise an extremely complex multi-factorial problem. Shainin techniques known as component search and paired comparison have been used sequentially to identify components and subsequently the parameters of components contributing to the noise in the transmission.
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
通过使用谢宁技术识别在传输过程中产生噪声的成分和参数
全球市场日益增长的期望对制造业提出了挑战,以具有竞争力的价格提供最优质的产品。在传统的质量控制方式下,劣质成本显著上升。传统方法在解决长期质量问题方面不是很有效。为了满足全球的期望,组织需要探索有效和快速的方法,利用各种先进的技术来解决长期的质量问题。本文系统地介绍了谢宁技术在解决汽车变速器噪声质量问题中的应用。变速器是一个复杂的系统,有许多组件和部件,而每个组件又有多个参数影响噪声,使变速器噪声成为一个极其复杂的多因素问题。谢宁技术被称为组件搜索和配对比较,已被依次用于识别组件和随后的组件在传输中产生噪声的参数。
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
International Journal of Six Sigma and Competitive Advantage
International Journal of Six Sigma and Competitive Advantage Engineering-Industrial and Manufacturing Engineering
CiteScore
2.00
自引率
0.00%
发文量
16
期刊介绍: Today, Six Sigma is recognised in many world class organisations as an effective means of achieving and maintaining operational excellence and competitive advantage. Six Sigma has proved to be successful in many manufacturing and service organisations to drive out variability from processes, improve process effectiveness and product/service quality, reduce defect rate, enhance customer satisfaction, etc. IJSSCA publishes papers that address Six Sigma issues from the perspectives of customers, industrial engineers, business managers, management consultants, industrial statisticians and Six Sigma practitioners.
期刊最新文献
The minimisation of giveaway and underweight in poultry proportioning process Comparative analysis of multivariate capacity indicators for serial and parallel systems Impact of Lean Six Sigma on companies performance during the COVID-19 pandemic A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs DMAICS 2 CRISP DM approach for improving and optimising the performance of an industrial mining production process
×
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