Emanuel Lima, Roy Bayot, Paulo Brito, N. Rodrigues, Bruno T. Ribeiro, Nuno Lopes
{"title":"Business Analytical Framework for the Manufacturing Industry","authors":"Emanuel Lima, Roy Bayot, Paulo Brito, N. Rodrigues, Bruno T. Ribeiro, Nuno Lopes","doi":"10.1109/INDIN45523.2021.9557370","DOIUrl":null,"url":null,"abstract":"The new generation of connected devices is transforming the manufacturing industry, making it more data-driven than ever. Various technologies, from IoT sensors to data modelling and predictive engineering, need to be integrated into the production process to optimise the process and increase productivity. The success of manufacturers will depend on how they integrate and orchestrate these technological ecosystems into their business. In this paper, we address the challenge of the ever-increasing demand for digital transformation in the manufacturing industry by proposing Falcon as a business framework. This framework identifies and implements the key concepts and components for the factories of the future, using the aerospace manufacturing industry as a use case. Falcon is designed to integrate multiple data sources to extract and visualise key production indicators while securing the overall information flow. The validation of the proposed framework is done by implementing an instance of the Falcon architecture at Embraer, Portugal.","PeriodicalId":370921,"journal":{"name":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 19th International Conference on Industrial Informatics (INDIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN45523.2021.9557370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The new generation of connected devices is transforming the manufacturing industry, making it more data-driven than ever. Various technologies, from IoT sensors to data modelling and predictive engineering, need to be integrated into the production process to optimise the process and increase productivity. The success of manufacturers will depend on how they integrate and orchestrate these technological ecosystems into their business. In this paper, we address the challenge of the ever-increasing demand for digital transformation in the manufacturing industry by proposing Falcon as a business framework. This framework identifies and implements the key concepts and components for the factories of the future, using the aerospace manufacturing industry as a use case. Falcon is designed to integrate multiple data sources to extract and visualise key production indicators while securing the overall information flow. The validation of the proposed framework is done by implementing an instance of the Falcon architecture at Embraer, Portugal.