{"title":"生产系统设计，提高质量采购率","authors":"Jingshan Li, D. Blumenfeld, S. Marin","doi":"10.1109/COASE.2005.1506770","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the impact of manufacturing system design parameters on product quality. Specifically, for a manufacturing system with repair and rework, we derive analytical formulas of product quality as a function of repair capacity. We show that product quality can be improved by designing the repair and rework subsystem more effectively. To illustrate this property, an application study is presented.","PeriodicalId":181408,"journal":{"name":"IEEE International Conference on Automation Science and Engineering, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Manufacturing system design to improve quality buy rate\",\"authors\":\"Jingshan Li, D. Blumenfeld, S. Marin\",\"doi\":\"10.1109/COASE.2005.1506770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the impact of manufacturing system design parameters on product quality. Specifically, for a manufacturing system with repair and rework, we derive analytical formulas of product quality as a function of repair capacity. We show that product quality can be improved by designing the repair and rework subsystem more effectively. To illustrate this property, an application study is presented.\",\"PeriodicalId\":181408,\"journal\":{\"name\":\"IEEE International Conference on Automation Science and Engineering, 2005.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Automation Science and Engineering, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COASE.2005.1506770\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Automation Science and Engineering, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COASE.2005.1506770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Manufacturing system design to improve quality buy rate
In this paper, we investigate the impact of manufacturing system design parameters on product quality. Specifically, for a manufacturing system with repair and rework, we derive analytical formulas of product quality as a function of repair capacity. We show that product quality can be improved by designing the repair and rework subsystem more effectively. To illustrate this property, an application study is presented.
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