{"title":"Contract-based product-assembly co-design","authors":"Bert Van Acker, J. Denil","doi":"10.1145/3550356.3559575","DOIUrl":null,"url":null,"abstract":"During the product design, special attention is required to ensure that the product can be assembled later on at the manufacturing floor. Front-loading the assembly or production knowledge is advantageous for the efficiency of the product design process as it limits the costly design iterations. However, this front-loading results in a big design-space, requiring computational-intensive exploration mechanisms to find an optimal design. We propose a two-stage exploration and optimization method. Within first stage, both product and assembly knowledge, captured in an ontology and their trade-offs, captured in design contracts, are used to preliminary prune the design-space. Within second stage, we explore the reduced design-space to find optimal design.","PeriodicalId":182662,"journal":{"name":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3550356.3559575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
During the product design, special attention is required to ensure that the product can be assembled later on at the manufacturing floor. Front-loading the assembly or production knowledge is advantageous for the efficiency of the product design process as it limits the costly design iterations. However, this front-loading results in a big design-space, requiring computational-intensive exploration mechanisms to find an optimal design. We propose a two-stage exploration and optimization method. Within first stage, both product and assembly knowledge, captured in an ontology and their trade-offs, captured in design contracts, are used to preliminary prune the design-space. Within second stage, we explore the reduced design-space to find optimal design.