{"title":"On the applicability of model based software development to cyber physical production systems","authors":"O. Niggemann, Bjorn Kroll","doi":"10.1109/ETFA.2014.7005187","DOIUrl":null,"url":null,"abstract":"The efficient handling of complex production systems and the implementation of more flexible and adaptable production lies at the heart of cyber-physical production systems and its german equivalent Industry 4.0. Such scenarios currently face one main difficulty: the creation, configuration and maintenance of the corresponding automation software is time-consuming and error-prone. Two main solutions exist for this problem: (i) model-based software development and (ii) intelligent automation, i.e. the usage of new knowledge-based solution approaches. This article compares these different solutions by applying them to three phases of the life-cycle: the planning phase, the operation phase and the plant modification phase.","PeriodicalId":20477,"journal":{"name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2014.7005187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The efficient handling of complex production systems and the implementation of more flexible and adaptable production lies at the heart of cyber-physical production systems and its german equivalent Industry 4.0. Such scenarios currently face one main difficulty: the creation, configuration and maintenance of the corresponding automation software is time-consuming and error-prone. Two main solutions exist for this problem: (i) model-based software development and (ii) intelligent automation, i.e. the usage of new knowledge-based solution approaches. This article compares these different solutions by applying them to three phases of the life-cycle: the planning phase, the operation phase and the plant modification phase.