A. Garmendia, M. Wimmer, A. Mazak-Huemer, E Guerra, J. de Lara: Modelling Production System Families with AutomationML, 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020, Vienna, Austria, September 8-11, 2020. Doi: 10.1109/ETFA46521.2020.9211894

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.

Modelling Production System Families with AutomationML