J. Youssef, G. Zacharewicz, David Chen, M. Marques, C. Agostinho, R. Jardim-Gonçalves
{"title":"基于分散决策支持的工业4.0企业操作系统(EOS)的实现","authors":"J. Youssef, G. Zacharewicz, David Chen, M. Marques, C. Agostinho, R. Jardim-Gonçalves","doi":"10.1109/ICE.2017.8279998","DOIUrl":null,"url":null,"abstract":"Enterprise daily operations are not effectively monitored and controlled. Furthermost of enterprises have chosen to implement ERP solutions or multiple systems in order to facilitate the data orchestration [4]; Nevertheless this solution may constraint the business due to the top down “enclosing” methodology. Considered as an alternative to ERP and a precondition to the future Enterprise 4.0 based on IoT and Cyber physical system principle, this paper tentatively presents a proposal to develop and implement an Enterprise Operating System (EOS) by setting loose coupled connections between enterprise's software with only one simplified central orchestrator component using the Decentralized Decision Support technique. The cooperating parties must accommodate and adjust “on-the-fly” to ensure quick interoperability establishment, easy-pass, and dynamic environment update. In the paper, a set of objectives and functions are identified at first. Then a survey on existing relevant works is presented and mapped to the requirements. After that the role of EOS for Industry 4.0 based on Decentralized Decision Support is described. The architectures of envisioned EOS are outlined and a case study shown to illustrate the use of EOS. The last part draws some conclusions and gives future perspectives.","PeriodicalId":421648,"journal":{"name":"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementation of enterprise operating system (EOS) in industry 4.0 based on the decentralized decision support\",\"authors\":\"J. Youssef, G. Zacharewicz, David Chen, M. Marques, C. Agostinho, R. Jardim-Gonçalves\",\"doi\":\"10.1109/ICE.2017.8279998\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Enterprise daily operations are not effectively monitored and controlled. Furthermost of enterprises have chosen to implement ERP solutions or multiple systems in order to facilitate the data orchestration [4]; Nevertheless this solution may constraint the business due to the top down “enclosing” methodology. Considered as an alternative to ERP and a precondition to the future Enterprise 4.0 based on IoT and Cyber physical system principle, this paper tentatively presents a proposal to develop and implement an Enterprise Operating System (EOS) by setting loose coupled connections between enterprise's software with only one simplified central orchestrator component using the Decentralized Decision Support technique. The cooperating parties must accommodate and adjust “on-the-fly” to ensure quick interoperability establishment, easy-pass, and dynamic environment update. In the paper, a set of objectives and functions are identified at first. Then a survey on existing relevant works is presented and mapped to the requirements. After that the role of EOS for Industry 4.0 based on Decentralized Decision Support is described. The architectures of envisioned EOS are outlined and a case study shown to illustrate the use of EOS. The last part draws some conclusions and gives future perspectives.\",\"PeriodicalId\":421648,\"journal\":{\"name\":\"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICE.2017.8279998\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICE.2017.8279998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of enterprise operating system (EOS) in industry 4.0 based on the decentralized decision support
Enterprise daily operations are not effectively monitored and controlled. Furthermost of enterprises have chosen to implement ERP solutions or multiple systems in order to facilitate the data orchestration [4]; Nevertheless this solution may constraint the business due to the top down “enclosing” methodology. Considered as an alternative to ERP and a precondition to the future Enterprise 4.0 based on IoT and Cyber physical system principle, this paper tentatively presents a proposal to develop and implement an Enterprise Operating System (EOS) by setting loose coupled connections between enterprise's software with only one simplified central orchestrator component using the Decentralized Decision Support technique. The cooperating parties must accommodate and adjust “on-the-fly” to ensure quick interoperability establishment, easy-pass, and dynamic environment update. In the paper, a set of objectives and functions are identified at first. Then a survey on existing relevant works is presented and mapped to the requirements. After that the role of EOS for Industry 4.0 based on Decentralized Decision Support is described. The architectures of envisioned EOS are outlined and a case study shown to illustrate the use of EOS. The last part draws some conclusions and gives future perspectives.