Modelling Production System Families with AutomationML
EntityUAM. Departamento de Ingeniería Informática
PublisherInstitute of Electrical and Electronics Engineers Inc. (IEEE)
10.1109/ETFA46521.2020.9211894A. Garmendia, M. Wimmer, A. Mazak-Huemer, E. Guerra and J. de Lara, Modelling Production System Families with AutomationML, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria, 2020, pp. 1057-1060
SubjectsAutomationML; Feature Modelling; Model-Driven Engineering; Product Lines; Variability; Informática
Note© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Rights© Institute of Electrical and Electronics Engineers
The description of families of production systems usually relies on the use of variability modelling. This aspect of modelling is gaining increasing interest with the emergence of Industry 4.0 to facilitate the product development as new requirements appear. As a consequence, there are several emerging modelling techniques able to apply variability in different domains. In this paper, we introduce an approach to establish product system families in AutomationML. Our approach is based on the definition of feature models describing the variability space, and on the assignment of presence conditions to AutomationML model elements. These conditions (de-)select the model elements depending on the chosen configuration. This way, it is possible to model a large set of model variants in a compact way using one single model. To realize our approach, we started from an existing EMF-based AutomationML workbench providing graphical modelling support. From these artifacts, we synthesized an extended graphical modelling editor with variability support, integrated with FeatureIDE. Furthermore, we validated our approach by creating and managing a production system family encompassing six scenarios of the Pick and Place Unit Industry 4.0 demonstrator
Google Scholar:Garmendia, Antonio - Wimmer, Manuel - Mazak-Huemer, Alexandra - Guerra, Esther - De Lara, Juan
This item appears in the following Collection(s)
Showing items related by title, author, creator and subject.