{"title":"利用过程质量预测提高制造过程的资源效率","authors":"S. Matzka","doi":"10.1109/AI4I.2018.8665706","DOIUrl":null,"url":null,"abstract":"A method to increase the resource efficiency of screw-fastening processes using machine learning concepts to predict process quality early in the process is proposed. Predictor performance and economic effects of its application are evaluated.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Using Process Quality Prediction to Increase Resource Efficiency in Manufacturing Processes\",\"authors\":\"S. Matzka\",\"doi\":\"10.1109/AI4I.2018.8665706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method to increase the resource efficiency of screw-fastening processes using machine learning concepts to predict process quality early in the process is proposed. Predictor performance and economic effects of its application are evaluated.\",\"PeriodicalId\":133657,\"journal\":{\"name\":\"2018 First International Conference on Artificial Intelligence for Industries (AI4I)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 First International Conference on Artificial Intelligence for Industries (AI4I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AI4I.2018.8665706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AI4I.2018.8665706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Process Quality Prediction to Increase Resource Efficiency in Manufacturing Processes
A method to increase the resource efficiency of screw-fastening processes using machine learning concepts to predict process quality early in the process is proposed. Predictor performance and economic effects of its application are evaluated.
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