{"title":"生产过程控制的渐进方法","authors":"O. Kolesnyk, P. Bubeník, Juraj Čapek","doi":"10.24132/pi.2021.07927.087-092","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to provide an overview of algorithms, calculations, learning that support the latest advances in process control and operations in modern manufacturing. The aim of this review is not only to offer interested readers information on the latest state of control in production methods and applications in production, but also to provide scientists and experts with a vision of where the future is heading.","PeriodicalId":356489,"journal":{"name":"Průmyslové inženýrství 2021: Sborník příspěvků","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Progressive methods for production process control\",\"authors\":\"O. Kolesnyk, P. Bubeník, Juraj Čapek\",\"doi\":\"10.24132/pi.2021.07927.087-092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this paper is to provide an overview of algorithms, calculations, learning that support the latest advances in process control and operations in modern manufacturing. The aim of this review is not only to offer interested readers information on the latest state of control in production methods and applications in production, but also to provide scientists and experts with a vision of where the future is heading.\",\"PeriodicalId\":356489,\"journal\":{\"name\":\"Průmyslové inženýrství 2021: Sborník příspěvků\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Průmyslové inženýrství 2021: Sborník příspěvků\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24132/pi.2021.07927.087-092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Průmyslové inženýrství 2021: Sborník příspěvků","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24132/pi.2021.07927.087-092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Progressive methods for production process control
The aim of this paper is to provide an overview of algorithms, calculations, learning that support the latest advances in process control and operations in modern manufacturing. The aim of this review is not only to offer interested readers information on the latest state of control in production methods and applications in production, but also to provide scientists and experts with a vision of where the future is heading.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
