{"title":"Assembly Process Model for Automated Assembly Line Design","authors":"Daniella Brovkina, O. Riedel","doi":"10.1109/ECICE52819.2021.9645604","DOIUrl":null,"url":null,"abstract":"Automated assembly line design faces multiple challenges. One of those challenges is the automation of resource selection, especially when heterogeneous machines are used. In this paper, a data model for the skill definition of heterogeneous machines is presented. The data model is based on state-of-the-art concepts and focuses on the standardization of capability representation. The data model is validated using different machines that can be employed within an assembly system. A particular focus is put on pick and place operations by structurally and logically different machines as typical assembly operations. Furthermore, the presented and validated data model is abstracted to define a generic assembly process model. The resulting model is a key to a fully automated matching of machines and processes that is required for product assembly within automated resource selection.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECICE52819.2021.9645604","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
Automated assembly line design faces multiple challenges. One of those challenges is the automation of resource selection, especially when heterogeneous machines are used. In this paper, a data model for the skill definition of heterogeneous machines is presented. The data model is based on state-of-the-art concepts and focuses on the standardization of capability representation. The data model is validated using different machines that can be employed within an assembly system. A particular focus is put on pick and place operations by structurally and logically different machines as typical assembly operations. Furthermore, the presented and validated data model is abstracted to define a generic assembly process model. The resulting model is a key to a fully automated matching of machines and processes that is required for product assembly within automated resource selection.