{"title":"基于工业物联网和CPS的制造领域智能工厂技术测量模型","authors":"C. Yoon","doi":"10.1145/3388218.3388226","DOIUrl":null,"url":null,"abstract":"Smart factory in manufacturing industry has driven as a critical manufacturing industry policy in the 4th industrial revolution. Manufacturing industry has also built its smart technology environment appropriate for its manufacturing fields in order to improve its production activity and competitiveness. Its smart factory is very crucial for its innovative production and business activities, and for the efficient advancement of its performance. For managing and upgrading smart factory, an objective measurement framework has to be developed to reasonably gauge a smart factory technology of manufacturing fields. The trends of smart factory technology have generally been researched as major technologies such as IIoT and CPS. This research develops a measurement framework for the smart factory technology of manufacturing fields based on IIoT and CPS technologies. The measurement model for a smart factory technology consists of IIoT and CPS measurement domains. Each measurement domain has three or four measurement factors with twelve or sixteen measurement items. Hence, this study presents a measurement model that can gauge the smart factory technology of manufacturing fields with two measurement domains, seven measurement factors, and twenty-eight measurement items in a smart factory technology perspective.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Measurement Model of Smart Factory Technology in Manufacturing Fields based on IIoT and CPS\",\"authors\":\"C. Yoon\",\"doi\":\"10.1145/3388218.3388226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart factory in manufacturing industry has driven as a critical manufacturing industry policy in the 4th industrial revolution. Manufacturing industry has also built its smart technology environment appropriate for its manufacturing fields in order to improve its production activity and competitiveness. Its smart factory is very crucial for its innovative production and business activities, and for the efficient advancement of its performance. For managing and upgrading smart factory, an objective measurement framework has to be developed to reasonably gauge a smart factory technology of manufacturing fields. The trends of smart factory technology have generally been researched as major technologies such as IIoT and CPS. This research develops a measurement framework for the smart factory technology of manufacturing fields based on IIoT and CPS technologies. The measurement model for a smart factory technology consists of IIoT and CPS measurement domains. Each measurement domain has three or four measurement factors with twelve or sixteen measurement items. Hence, this study presents a measurement model that can gauge the smart factory technology of manufacturing fields with two measurement domains, seven measurement factors, and twenty-eight measurement items in a smart factory technology perspective.\",\"PeriodicalId\":345276,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3388218.3388226\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388218.3388226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measurement Model of Smart Factory Technology in Manufacturing Fields based on IIoT and CPS
Smart factory in manufacturing industry has driven as a critical manufacturing industry policy in the 4th industrial revolution. Manufacturing industry has also built its smart technology environment appropriate for its manufacturing fields in order to improve its production activity and competitiveness. Its smart factory is very crucial for its innovative production and business activities, and for the efficient advancement of its performance. For managing and upgrading smart factory, an objective measurement framework has to be developed to reasonably gauge a smart factory technology of manufacturing fields. The trends of smart factory technology have generally been researched as major technologies such as IIoT and CPS. This research develops a measurement framework for the smart factory technology of manufacturing fields based on IIoT and CPS technologies. The measurement model for a smart factory technology consists of IIoT and CPS measurement domains. Each measurement domain has three or four measurement factors with twelve or sixteen measurement items. Hence, this study presents a measurement model that can gauge the smart factory technology of manufacturing fields with two measurement domains, seven measurement factors, and twenty-eight measurement items in a smart factory technology perspective.