{"title":"统计过程控制和预测","authors":"O. O. Atienza, B. Ang, L. Tang","doi":"10.1108/13598539710159077","DOIUrl":null,"url":null,"abstract":"Explores the relationships between statistical process control (SPC) and forecasting procedures. While both procedures are often applied and used in different contexts, a careful analysis shows that they go through the same stages that culminate in process or forecast monitoring. This apparent similarity of SPC and forecasting enables a general framework to be established for model‐based SPC. Discusses some forecasting procedures applicable to SPC and underlines the importance of SPC concepts in forecasting.","PeriodicalId":376191,"journal":{"name":"International Journal of Quality Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Statistical process control and forecasting\",\"authors\":\"O. O. Atienza, B. Ang, L. Tang\",\"doi\":\"10.1108/13598539710159077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Explores the relationships between statistical process control (SPC) and forecasting procedures. While both procedures are often applied and used in different contexts, a careful analysis shows that they go through the same stages that culminate in process or forecast monitoring. This apparent similarity of SPC and forecasting enables a general framework to be established for model‐based SPC. Discusses some forecasting procedures applicable to SPC and underlines the importance of SPC concepts in forecasting.\",\"PeriodicalId\":376191,\"journal\":{\"name\":\"International Journal of Quality Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Quality Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/13598539710159077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Quality Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/13598539710159077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Explores the relationships between statistical process control (SPC) and forecasting procedures. While both procedures are often applied and used in different contexts, a careful analysis shows that they go through the same stages that culminate in process or forecast monitoring. This apparent similarity of SPC and forecasting enables a general framework to be established for model‐based SPC. Discusses some forecasting procedures applicable to SPC and underlines the importance of SPC concepts in forecasting.