W. Lepuschitz, T. Trautner, M. Mayerhofer, S. Fallah, Iman Ayatollahi, M. Merdan
{"title":"Applying Ontologies in a Cloud Manufacturing System","authors":"W. Lepuschitz, T. Trautner, M. Mayerhofer, S. Fallah, Iman Ayatollahi, M. Merdan","doi":"10.1109/IECON.2019.8927535","DOIUrl":null,"url":null,"abstract":"Regarding small and medium enterprises, increased competitiveness and resource utilization could be reached by integrating their resources and combining their services thus establishing a collaborative and flexible infrastructure. Combining services can be addressed by employing the paradigm of cloud manufacturing, which is a service-oriented manufacturing model with characteristics of dynamical scalability and reconfigurability as well as distributive collaboration. This paper introduces a cloud manufacturing system architecture that involves the usage of ontologies for representing knowledge on various layers. On the cloud layer, an ontology is used for representing company services and orders. A manufacturing execution system ontology is employed on the intra-factory layer for the representation of machines, operations and material. Furthermore, a 3D printing ontology specifically describes concepts related to additive manufacturing. These ontologies are intended as data source for scheduling mechanisms.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"49 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2019.8927535","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
Regarding small and medium enterprises, increased competitiveness and resource utilization could be reached by integrating their resources and combining their services thus establishing a collaborative and flexible infrastructure. Combining services can be addressed by employing the paradigm of cloud manufacturing, which is a service-oriented manufacturing model with characteristics of dynamical scalability and reconfigurability as well as distributive collaboration. This paper introduces a cloud manufacturing system architecture that involves the usage of ontologies for representing knowledge on various layers. On the cloud layer, an ontology is used for representing company services and orders. A manufacturing execution system ontology is employed on the intra-factory layer for the representation of machines, operations and material. Furthermore, a 3D printing ontology specifically describes concepts related to additive manufacturing. These ontologies are intended as data source for scheduling mechanisms.