{"title":"The Cloud Storage Model for Manufacturing System in Global Factory Automation","authors":"Hwa-Young Jeong, J. Park, Jae Dong Lee","doi":"10.1109/WAINA.2014.138","DOIUrl":null,"url":null,"abstract":"There are many manufacturing systems in the factory. Furthermore the system engineer or user have to control and manage lots of data for the manufacturing system. There is, therefore, a need for an efficient management method or technique to handle the systems in their factory. The system managers who work in the main office or at a e location far from the factory also need to check the production rate and data of the manufacturing system in the factory. All of them need to manage the system data. Recently, cloud computing was introduced and thus allows a significant alternative to today's manufacturing system perspective. Therefore, this research aims to present a model to manage and share the data for the manufacturing system via the internet. For this purpose, the cloud storage for the manufacturing system in global factory automation was used. The proposed cloud storage model consists of four types of databases and one management server. The model interfaces the data exchange process between the manufacturing systems and each database. Through this model, the system manager, engineer, and user are all able to check and share the manufacturing system's data efficiently via the internet.","PeriodicalId":424903,"journal":{"name":"2014 28th International Conference on Advanced Information Networking and Applications Workshops","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 28th International Conference on Advanced Information Networking and Applications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2014.138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
There are many manufacturing systems in the factory. Furthermore the system engineer or user have to control and manage lots of data for the manufacturing system. There is, therefore, a need for an efficient management method or technique to handle the systems in their factory. The system managers who work in the main office or at a e location far from the factory also need to check the production rate and data of the manufacturing system in the factory. All of them need to manage the system data. Recently, cloud computing was introduced and thus allows a significant alternative to today's manufacturing system perspective. Therefore, this research aims to present a model to manage and share the data for the manufacturing system via the internet. For this purpose, the cloud storage for the manufacturing system in global factory automation was used. The proposed cloud storage model consists of four types of databases and one management server. The model interfaces the data exchange process between the manufacturing systems and each database. Through this model, the system manager, engineer, and user are all able to check and share the manufacturing system's data efficiently via the internet.