{"title":"工艺调整方法的有效性","authors":"Li Zhang","doi":"10.1109/ICMSS.2009.5301479","DOIUrl":null,"url":null,"abstract":"In modern manufacturing environment, the autocorrelation of process data is universal, and the error of machine settings happened frequently. It is no sense to monitor the process by traditional SPC. Base on Deming’s funnel experiment, the necessity of process adjustments was discussed, and the effectiveness of the Minimum Mean Square Error (MMSE) and Grubbs harmonic rule for process adjustment was studied. In addition, the characteristic contrast between MMSE and Grubbs harmonic rule was analyzed. Keywordsengineering process control; process adjustment; MMSE; Grubbs harmonic rule","PeriodicalId":267621,"journal":{"name":"2009 International Conference on Management and Service Science","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Effectiveness for Process Adjustment Methods\",\"authors\":\"Li Zhang\",\"doi\":\"10.1109/ICMSS.2009.5301479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In modern manufacturing environment, the autocorrelation of process data is universal, and the error of machine settings happened frequently. It is no sense to monitor the process by traditional SPC. Base on Deming’s funnel experiment, the necessity of process adjustments was discussed, and the effectiveness of the Minimum Mean Square Error (MMSE) and Grubbs harmonic rule for process adjustment was studied. In addition, the characteristic contrast between MMSE and Grubbs harmonic rule was analyzed. Keywordsengineering process control; process adjustment; MMSE; Grubbs harmonic rule\",\"PeriodicalId\":267621,\"journal\":{\"name\":\"2009 International Conference on Management and Service Science\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Management and Service Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSS.2009.5301479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Management and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSS.2009.5301479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In modern manufacturing environment, the autocorrelation of process data is universal, and the error of machine settings happened frequently. It is no sense to monitor the process by traditional SPC. Base on Deming’s funnel experiment, the necessity of process adjustments was discussed, and the effectiveness of the Minimum Mean Square Error (MMSE) and Grubbs harmonic rule for process adjustment was studied. In addition, the characteristic contrast between MMSE and Grubbs harmonic rule was analyzed. Keywordsengineering process control; process adjustment; MMSE; Grubbs harmonic rule
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