{"title":"基于P控制图的数据分析与质量控制研究","authors":"Bo Yang, Yumin He, Honghao Yin","doi":"10.1109/CISP-BMEI51763.2020.9263537","DOIUrl":null,"url":null,"abstract":"Statistical process control (SPC) emphasizes real-time monitoring of a process and uses statistical methods to provide early warning for a process. This paper applies SPC and proposes an P control chart-based method for process control. An example is provided, which applies the proposed method. The application example illustrates that P control chart can make process control for quality improvement.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"304 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Data Analysis and Quality Control based on P Control Chart\",\"authors\":\"Bo Yang, Yumin He, Honghao Yin\",\"doi\":\"10.1109/CISP-BMEI51763.2020.9263537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Statistical process control (SPC) emphasizes real-time monitoring of a process and uses statistical methods to provide early warning for a process. This paper applies SPC and proposes an P control chart-based method for process control. An example is provided, which applies the proposed method. The application example illustrates that P control chart can make process control for quality improvement.\",\"PeriodicalId\":346757,\"journal\":{\"name\":\"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"volume\":\"304 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP-BMEI51763.2020.9263537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Data Analysis and Quality Control based on P Control Chart
Statistical process control (SPC) emphasizes real-time monitoring of a process and uses statistical methods to provide early warning for a process. This paper applies SPC and proposes an P control chart-based method for process control. An example is provided, which applies the proposed method. The application example illustrates that P control chart can make process control for quality improvement.
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