{"title":"确定网络物理生产系统的最佳自治水平","authors":"N. Gronau, Marcus Grum, Benedict Bender","doi":"10.1109/INDIN.2016.7819367","DOIUrl":null,"url":null,"abstract":"Traditional production systems are enhanced by cyber-physical systems (CPSs) and Internet of Things. As kind of next generation systems, those cyber-physical production systems (CPPSs) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment. Big Data Analytics can be used to extract influence factors which explain the optimal degree of autonomy.","PeriodicalId":421680,"journal":{"name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Determining the optimal level of autonomy in cyber-physical production systems\",\"authors\":\"N. Gronau, Marcus Grum, Benedict Bender\",\"doi\":\"10.1109/INDIN.2016.7819367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional production systems are enhanced by cyber-physical systems (CPSs) and Internet of Things. As kind of next generation systems, those cyber-physical production systems (CPPSs) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment. Big Data Analytics can be used to extract influence factors which explain the optimal degree of autonomy.\",\"PeriodicalId\":421680,\"journal\":{\"name\":\"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIN.2016.7819367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2016.7819367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determining the optimal level of autonomy in cyber-physical production systems
Traditional production systems are enhanced by cyber-physical systems (CPSs) and Internet of Things. As kind of next generation systems, those cyber-physical production systems (CPPSs) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment. Big Data Analytics can be used to extract influence factors which explain the optimal degree of autonomy.