{"title":"Manufacturing Ontology Development Based on Industry 4.0 Demonstration Production Line","authors":"Haibo Cheng, P. Zeng, Lingling Xue, Zhao Shi, Peng Wang, Haibin Yu","doi":"10.1109/TSA.2016.17","DOIUrl":null,"url":null,"abstract":"The increasing pressures faced by manufacturers, the shortening of innovation cycles and the growing importance of high-efficiency manufacturing demand a higher versatility of factory automation. In order to achieve this target, engineering tasks currently performed manually need to be automated. In this case, ontologies emerge as a significant method for representing manufacturing knowledge in a machine-interpretable way. This knowledge can then be used by automated problem-solving methods to reconfigure the control software that coordinates and supervises manufacturing systems. Besides, Ontology can play a very important role in the process of creating as well as managing the knowledge. This paper addresses the important issues in developing domain-specific ontology for manufacturing used in industry 4.0 demonstration production line. A generic ontology is developed considering all the aspects about product from customized order to resulting production.","PeriodicalId":114541,"journal":{"name":"2016 Third International Conference on Trustworthy Systems and their Applications (TSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Third International Conference on Trustworthy Systems and their Applications (TSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSA.2016.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
The increasing pressures faced by manufacturers, the shortening of innovation cycles and the growing importance of high-efficiency manufacturing demand a higher versatility of factory automation. In order to achieve this target, engineering tasks currently performed manually need to be automated. In this case, ontologies emerge as a significant method for representing manufacturing knowledge in a machine-interpretable way. This knowledge can then be used by automated problem-solving methods to reconfigure the control software that coordinates and supervises manufacturing systems. Besides, Ontology can play a very important role in the process of creating as well as managing the knowledge. This paper addresses the important issues in developing domain-specific ontology for manufacturing used in industry 4.0 demonstration production line. A generic ontology is developed considering all the aspects about product from customized order to resulting production.