Assessing Cause of Defect Using Failure Mode and Effect Analysis

Berty Dwi Rahmawati, Nadia Nisya Budi Maharani
{"title":"Assessing Cause of Defect Using Failure Mode and Effect Analysis","authors":"Berty Dwi Rahmawati, Nadia Nisya Budi Maharani","doi":"10.12928/si.v21i1.91","DOIUrl":null,"url":null,"abstract":"A company should implement good quality management to maintain consumer confidence in producing quality products. FMEA serves to identify product failures in a process and the causes of defects or losses that occur during the production process of a product, component, or system. The research aims to analyze quality control and identify production defects that cause a decrease in quality. The samples studied were rejected goods in production activities. Forty damaged parts were used as the samples in this study. This study used both qualitative and quantitative analysis. Quantitative analysis was conducted to determine the type of rejection and then to rank the risk, while qualitative analysis was performed with Ishikawa diagram to evaluate risk priorities. This research not only helps identify and assess the root cause of rejected goods but also affects the following year's planning by proposing measures to reduce risk. Check sheets and histograms are used to present further research. The analysis results show two classifications of defects in production: size error and painting error, with the most dominant defect, size error, and equal to 73.17%. Based on the analysis of the causes of defects, several factors were found that caused product defects; man, material, method, machine. The man factor has the highest value in contributing to defect, with an RPN score of 192.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12928/si.v21i1.91","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

A company should implement good quality management to maintain consumer confidence in producing quality products. FMEA serves to identify product failures in a process and the causes of defects or losses that occur during the production process of a product, component, or system. The research aims to analyze quality control and identify production defects that cause a decrease in quality. The samples studied were rejected goods in production activities. Forty damaged parts were used as the samples in this study. This study used both qualitative and quantitative analysis. Quantitative analysis was conducted to determine the type of rejection and then to rank the risk, while qualitative analysis was performed with Ishikawa diagram to evaluate risk priorities. This research not only helps identify and assess the root cause of rejected goods but also affects the following year's planning by proposing measures to reduce risk. Check sheets and histograms are used to present further research. The analysis results show two classifications of defects in production: size error and painting error, with the most dominant defect, size error, and equal to 73.17%. Based on the analysis of the causes of defects, several factors were found that caused product defects; man, material, method, machine. The man factor has the highest value in contributing to defect, with an RPN score of 192.
利用失效模式和影响分析来评估缺陷的原因
公司应实施良好的质量管理,以保持消费者对生产优质产品的信心。FMEA用于识别过程中的产品故障,以及在产品、组件或系统的生产过程中发生的缺陷或损失的原因。研究的目的是分析质量控制和识别导致质量下降的生产缺陷。所研究的样品是生产活动中被拒收的商品。本研究选取了40个受损部件作为样本。本研究采用定性和定量分析相结合的方法。定量分析确定拒绝类型并对风险进行排序,定性分析采用石川图评价风险优先级。这项研究不仅有助于识别和评估拒收货物的根本原因,而且通过提出降低风险的措施,影响下一年的计划。检查表和直方图用于显示进一步的研究。分析结果表明,生产中存在两类缺陷:尺寸误差和涂装误差,其中尺寸误差占比最大,为73.17%。通过对缺陷产生原因的分析,找出了导致产品缺陷的几个因素;人,材料,方法,机器。男性因素对缺陷的贡献最大,RPN得分为192。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
12 weeks
×
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