{"title":"基于模糊优化的Dodge - Romig双采样方案","authors":"Reay-Chen Wang, Chung-Ho Chen","doi":"10.1108/13598539710159086","DOIUrl":null,"url":null,"abstract":"Considers that the problem of determining the Dodge‐Romig lot tolerance per cent defective (LTPD) double sampling plan (DSP) under the fuzzy environment satisfies the consumer’s risk closely and is an extension of Chakraborty’s work. Models the problem as fuzzy mathematical programming (FMP). A linear membership function and the minimum operator are assumed in FMP. The solution of the proposed model has a smaller average total inspection (ATI) than those of the traditional Dodge‐Romig LTPD DSP and Chakraborty’s.","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":"3","resultStr":"{\"title\":\"The Dodge‐Romig double sampling plans based on fuzzy optimization\",\"authors\":\"Reay-Chen Wang, Chung-Ho Chen\",\"doi\":\"10.1108/13598539710159086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considers that the problem of determining the Dodge‐Romig lot tolerance per cent defective (LTPD) double sampling plan (DSP) under the fuzzy environment satisfies the consumer’s risk closely and is an extension of Chakraborty’s work. Models the problem as fuzzy mathematical programming (FMP). A linear membership function and the minimum operator are assumed in FMP. The solution of the proposed model has a smaller average total inspection (ATI) than those of the traditional Dodge‐Romig LTPD DSP and Chakraborty’s.\",\"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\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Quality Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/13598539710159086\",\"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/10.1108/13598539710159086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Dodge‐Romig double sampling plans based on fuzzy optimization
Considers that the problem of determining the Dodge‐Romig lot tolerance per cent defective (LTPD) double sampling plan (DSP) under the fuzzy environment satisfies the consumer’s risk closely and is an extension of Chakraborty’s work. Models the problem as fuzzy mathematical programming (FMP). A linear membership function and the minimum operator are assumed in FMP. The solution of the proposed model has a smaller average total inspection (ATI) than those of the traditional Dodge‐Romig LTPD DSP and Chakraborty’s.
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