{"title":"利用机器人流程自动化 (RPA) 实施科技制造","authors":"Abimbola Dolapo Badmus","doi":"10.60087/jklst.vol2.n2.p103","DOIUrl":null,"url":null,"abstract":"Rapid growth in manufacturing has spurred the exploration of the potential of the Wireless Sensor Network (WSN) and the Robotics Process Automation (PRA) to improve the efficiency of manufacturing. The industry ranges from raw material procurement to customer service and support. The Robotics Process Automation is regarded as a key technology of Industrial Revolution 4.0 and offers promising prospects for creating efficient services and applications in manufacturing. in real time about the working environment. This article examines the impact of the RPA on sustainability, especially in manufacturing. This will further develop the current. RPA production scenario and lead researchers to pioneer cyber-integrated, production research.","PeriodicalId":106651,"journal":{"name":"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementing Technology Manufacturing with Robotics Process Automation (RPA)\",\"authors\":\"Abimbola Dolapo Badmus\",\"doi\":\"10.60087/jklst.vol2.n2.p103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rapid growth in manufacturing has spurred the exploration of the potential of the Wireless Sensor Network (WSN) and the Robotics Process Automation (PRA) to improve the efficiency of manufacturing. The industry ranges from raw material procurement to customer service and support. The Robotics Process Automation is regarded as a key technology of Industrial Revolution 4.0 and offers promising prospects for creating efficient services and applications in manufacturing. in real time about the working environment. This article examines the impact of the RPA on sustainability, especially in manufacturing. This will further develop the current. RPA production scenario and lead researchers to pioneer cyber-integrated, production research.\",\"PeriodicalId\":106651,\"journal\":{\"name\":\"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.60087/jklst.vol2.n2.p103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.60087/jklst.vol2.n2.p103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementing Technology Manufacturing with Robotics Process Automation (RPA)
Rapid growth in manufacturing has spurred the exploration of the potential of the Wireless Sensor Network (WSN) and the Robotics Process Automation (PRA) to improve the efficiency of manufacturing. The industry ranges from raw material procurement to customer service and support. The Robotics Process Automation is regarded as a key technology of Industrial Revolution 4.0 and offers promising prospects for creating efficient services and applications in manufacturing. in real time about the working environment. This article examines the impact of the RPA on sustainability, especially in manufacturing. This will further develop the current. RPA production scenario and lead researchers to pioneer cyber-integrated, production research.
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