Christos Liakos, Aimilios Christos Panagopoulos, P. Karkazis
{"title":"Smart Business Processing in Industry 4.0","authors":"Christos Liakos, Aimilios Christos Panagopoulos, P. Karkazis","doi":"10.1145/3575879.3575963","DOIUrl":null,"url":null,"abstract":"In the context of the Internet of Things and Industry 4.0 innovative technologies have been emerged namely Digital Twins, Business Process Management frameworks, Big Data analysis, and they are now available and ready to be used in order to create new management models. These models implement the interconnection of the structural elements of the production chain (machines, sensors, humans, etc.), by gathering and processing useful information, targeting on automated decisions, problems solving in real-time, and the flexible adjustment of the production process. In the current work, we present and evaluate a management architecture of a business process management flow to identify the alterations on digitally replicated industrial machinery and the impact they have on a production line.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3575879.3575963","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the context of the Internet of Things and Industry 4.0 innovative technologies have been emerged namely Digital Twins, Business Process Management frameworks, Big Data analysis, and they are now available and ready to be used in order to create new management models. These models implement the interconnection of the structural elements of the production chain (machines, sensors, humans, etc.), by gathering and processing useful information, targeting on automated decisions, problems solving in real-time, and the flexible adjustment of the production process. In the current work, we present and evaluate a management architecture of a business process management flow to identify the alterations on digitally replicated industrial machinery and the impact they have on a production line.