Analysis of deviation from nominal control chart performance on short production runs

Q3 Engineering Production Pub Date : 2022-01-01 DOI:10.1590/0103-6513.20210092
Márcio Ricardo Morelli de Meira, P. Oprime, Ricardo Coser Mergulhão
{"title":"Analysis of deviation from nominal control chart performance on short production runs","authors":"Márcio Ricardo Morelli de Meira, P. Oprime, Ricardo Coser Mergulhão","doi":"10.1590/0103-6513.20210092","DOIUrl":null,"url":null,"abstract":"Paper aims: This paper studies the influence of process variation on deviation from nominal control chart performance and proposes some adjustments on the control limits to make it enable on small batches. Originality: Specific methods were developed to monitor small batches, mainly due to unavailability of data for precise parameters estimation, like the deviation from nominal control charts. However, Montgomery (2014) highlights some essential aspects, such as the influence of process variation on its performance. Research method: The method used was mathematical modeling and computer simulation. Main findings: The results validated that there is a significant influence of the process variation on the control chart performance. It has been demonstrated that small adjustments on the control limits can make it enable on lean environments. Implications for theory and practice: The main contribution is demonstrating the use of deviation from nominal control chart, through the valid control limits definition regardless of the samples size.","PeriodicalId":34960,"journal":{"name":"Production","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/0103-6513.20210092","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: 1

Abstract

Paper aims: This paper studies the influence of process variation on deviation from nominal control chart performance and proposes some adjustments on the control limits to make it enable on small batches. Originality: Specific methods were developed to monitor small batches, mainly due to unavailability of data for precise parameters estimation, like the deviation from nominal control charts. However, Montgomery (2014) highlights some essential aspects, such as the influence of process variation on its performance. Research method: The method used was mathematical modeling and computer simulation. Main findings: The results validated that there is a significant influence of the process variation on the control chart performance. It has been demonstrated that small adjustments on the control limits can make it enable on lean environments. Implications for theory and practice: The main contribution is demonstrating the use of deviation from nominal control chart, through the valid control limits definition regardless of the samples size.
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
分析短期生产运行中与标称控制图性能的偏差
论文目的:本文研究了工艺变化对标称控制图性能偏差的影响,并提出了对控制极限的一些调整,使其在小批量生产中生效。独创性:开发了特定的方法来监测小批量,主要是由于无法获得精确参数估计的数据,例如偏离标称控制图。然而,Montgomery(2014)强调了一些重要的方面,例如过程变化对其绩效的影响。研究方法:采用数学建模和计算机仿真相结合的方法。主要发现:结果验证了工艺变化对控制图性能的显著影响。已经证明,对控制范围进行小的调整可以使其在精益环境中启用。对理论和实践的启示:主要贡献是通过有效的控制限制定义,无论样本大小如何,都证明了标称控制图偏差的使用。
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
Production
Production Engineering-Industrial and Manufacturing Engineering
CiteScore
3.00
自引率
0.00%
发文量
26
审稿时长
40 weeks
期刊介绍: The Produção Journal (Production Journal), ISSN 0103-6513, is a Brazilian Association of Production Engineering (ABEPRO) publication. It was created in 1990 in order to provide a communication medium for academic articles in the Production Engineering field. Since 2002, the Production Engineering Department of Polytechnic School of the University of São Paulo (PRO/EPUSP) is responsible for the editorial process of Produção Journal, sponsored by Carlos Alberto Vanzolini Foundation (FCAV). Revista Produção has the tradition of eighteen published volumes and Qualis "B2" evaluation by CAPES in the Engineering III area. For Brazilian academic community it is a top journal in Production Engineering field.
期刊最新文献
Toward the development of a Preparedness and Response Protocol for epidemics and pandemics Healthcare supply chain risk assessment KPIs: an empirical study using PLS-SEM Social Network Analysis in disaster management Action research supported by remote collaboration tools: analysis of two operations management applications Multicriteria negotiation model for selecting sustainable suppliers’ problem in the agribusiness
×
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