Quality Engineering最新文献

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A Bayesian ARMA-GARCH EWMA monitoring scheme for long run: A case study on monitoring the USD/ZAR exchange rate 一种长期的贝叶斯ARMA-GARCH EWMA监测方案:以监测美元/南非兰特汇率为例
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-07-20 DOI: 10.1080/08982112.2023.2234458
M. Shingwenyana, J. Malela‐Majika, P. Castagliola, S. Human
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引用次数: 1
A control chart for monitoring images using jump location curves 使用跳跃位置曲线监测图像的控制图
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-07-10 DOI: 10.1080/08982112.2023.2232441
Anik Roy, Partha Sarathi Mukherjee
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引用次数: 0
A latent process approach to change-point detection of mixed-type observations 混合型观测变化点检测的一种潜在过程方法
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-06-28 DOI: 10.1080/08982112.2023.2223617
Shuyu Chu, Xueying Liu, A. Marathe, Xinwei Deng
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引用次数: 0
A new multivariate control chart based on the isolation forest algorithm 一种新的基于隔离林算法的多元控制图
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-06-20 DOI: 10.1080/08982112.2023.2220773
J. Wang, L. Liu
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引用次数: 0
Optimized control charts using indifference regions 使用无差异区域优化控制图
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-06-20 DOI: 10.1080/08982112.2023.2218904
Alex Kuiper, R. Goedhart
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引用次数: 0
Reevaluating the performance of control charts based on ranked-set sampling 基于排序集抽样的控制图性能再评价
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-06-12 DOI: 10.1080/08982112.2023.2212751
W. Woodall, A. Haq, Mahmoud A. Mahmoud, Nesma A. Saleh
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引用次数: 1
Evidential FMEA method for human reliability assessment 人为可靠性评估的实证FMEA方法
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-05-26 DOI: 10.1080/08982112.2023.2215315
Mei Cai, Jin-bang Xiao, Qian Luo, Yu Gao, Xinglian Jian, Ya Wang
{"title":"Evidential FMEA method for human reliability assessment","authors":"Mei Cai, Jin-bang Xiao, Qian Luo, Yu Gao, Xinglian Jian, Ya Wang","doi":"10.1080/08982112.2023.2215315","DOIUrl":"https://doi.org/10.1080/08982112.2023.2215315","url":null,"abstract":"","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45418824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Flexible, efficient borrowing: A power prior structure for Bayesian interim analysis 灵活、高效的借款:贝叶斯中期分析的权力先验结构
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-05-19 DOI: 10.1080/08982112.2023.2209160
Victoria R. C. Sieck, Fletcher G. W. Christensen
{"title":"Flexible, efficient borrowing: A power prior structure for Bayesian interim analysis","authors":"Victoria R. C. Sieck, Fletcher G. W. Christensen","doi":"10.1080/08982112.2023.2209160","DOIUrl":"https://doi.org/10.1080/08982112.2023.2209160","url":null,"abstract":"","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"1 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41489912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation 制造业创新中六西格玛的衰落与质量4.0的兴起
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-05-18 DOI: 10.1080/08982112.2023.2206679
Carlos A. Escobar, Daniela Macias-Arregoyta, R. Morales-Menéndez
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引用次数: 1
Response to the letter by Professors Woodall and Knoth Woodall和Knoth教授对这封信的回应
IF 2 4区 工程技术
Quality Engineering Pub Date : 2023-05-17 DOI: 10.1080/08982112.2023.2212027
Nasir Abbas
{"title":"Response to the letter by Professors Woodall and Knoth","authors":"Nasir Abbas","doi":"10.1080/08982112.2023.2212027","DOIUrl":"https://doi.org/10.1080/08982112.2023.2212027","url":null,"abstract":"Dear Professor Edwards: I am thankful to Professors Woodall and Knoth for their comments on my article “On Efficient Change Point Detection using a Step Cumulative Sum Control Chart” and wouldmake an effort to address each of their concerns. Referring to some statements from Page (1961), Duncan (1986) and Montgomery (2013), Professors Woodall and Knoth argued that smaller shifts in the process parameters are not desired to be detected. Based on the said arguments, they concluded that classical cumulative sum (CUSUM) performs better (overall) as compared to the step-CUSUM, if designed for shifts of size 2.5 standard error or larger. In my opinion, shifts of sizes more than 2.5 standard error are quite large and memory-type control charts are not usually designed for such shifts. In example 1.9.1 for monitoring the diameter of 5mm bolts, Hawkins and Olwell (1998, 28) used the design parameter k 1⁄4 0:25 for demonstration of CUSUM chart which is corresponding to optimizing the chart for shift size dTarget 1⁄4 0:5: Further, Hawkins and Olwell (1998, 32) recommended choosing a value of k that targets “a shift large enough to have a meaningful impact on the process operation but small enough not to be obvious to the naked eye.” Writing about the situations where detecting small shifts is important, they further added “If however a shift of one standard deviation is large enough to affect the process, then not being able to detect it reliably could be a problem, and then tuning to d 1⁄4 3 could be a bad choice.” In another well-known book on statistical process control, while recommending the design parameter of CUSUM chart in Table 9.3, Montgomery (2013, 422) gave results at k 1⁄4 0:5 which corresponds to optimizing the chart for dTarget 1⁄4 1: Likewise, on choosing the design parameter of CUSUM chart, Ryan (2011, 266) stated “We have seen that an X-chart is effective in detecting a largemean shift such as a 3or 4-sigma shift. Therefore, there would be no point in setting k 1⁄4 1:5 or k 1⁄4 2:0: Theusual choice is k 1⁄4 0:5, which is the appropriate choice for detecting a 1-sigma shift.” Considering these recommendations about the design parameter of CUSUM chart, it seemsunreasonable to design/compare the performance of twomemory-type control charts for larger shifts of sizesmore than 2.5 standard error. Professors Woodall and Knoth also commented on the usefulness of combined Shewhart-CUSUM chart for situations where the step-CUSUM is performing better than classical CUSUM. I should emphasize that in the original paper Abbas (2023, 12), the performance comparison (in terms of zeroand steadystate average run lengths) of step-CUSUM with the combined Shewhart-CUSUM is already given in Tables 17 and 18. The overall comparison using the extra quadratic loss (EQL) metric showed that the step-CUSUM is slightly better than the combined Shewhart-CUSUM chart. In addition, the design structure and implementation procedure of a combined Shewhart-step-CUSUM is als","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"731 - 732"},"PeriodicalIF":2.0,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45528916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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