Combining a SysML-based Modeling Approach and Semantic Technologies for Analyzing Change Influences in Manufacturing Plant Models☆

Abstract During the lifecycle of mechatronic manufacturing systems, repeatedly exchanges of different system elements have to be conducted. These system elements can be either single discipline-specific components, or modules composed of components or further modules. In order to ensure the elements’ compatibility and the system's functionality, which must comply with the specification after the exchange, a model-based analysis of the change influences is presented in this paper. A SysML-based modeling approach is combined with the formal representation of the model in an OWL ontology to conduct the required compatibility check. By that, the disciplines involved in the engineering process, e.g. mechanics, electrics/electronics and software, can be modeled and taken into account for the analysis of change influences. Thus, this paper contributes to the domain of manufacturing systems by providing a meta model for the interdisciplinary modeling of manufacturing systems on the one hand and by defining a corresponding formal representation intended to ensure system elements’ compatibility on the other hand.

[1]  René C. Malak,et al.  Software Tool for Planning and Analyzing Engineering Changes in Manufacturing Systems , 2013 .

[2]  George Chryssolouris,et al.  Manufacturing Systems: Theory and Practice , 1992 .

[3]  Nadia Hamani,et al.  Verification and validation of a SSM model dedicated to mode handling of flexible manufacturing systems , 2009, Comput. Ind..

[4]  Arndt Luder,et al.  Seamless automation engineering with AutomationML® , 2008, 2008 IEEE International Technology Management Conference (ICE).

[5]  Christoph Legat,et al.  Ontology-based validation of plant models , 2013, 2013 11th IEEE International Conference on Industrial Informatics (INDIN).

[6]  Alexander Fay,et al.  Software Support for Building Automation Requirements Engineering—An Application of Semantic Web Technologies in Automation , 2011, IEEE Transactions on Industrial Informatics.

[7]  M. Bonfe,et al.  A SysML-Based Methodology for Manufacturing Machinery Modeling and Design , 2011, IEEE/ASME Transactions on Mechatronics.

[8]  Klaus Kabitzsch,et al.  Ontology-Based Device Descriptions and Device Repository for Building Automation Devices , 2011, EURASIP J. Embed. Syst..

[9]  Christiaan J. J. Paredis,et al.  A Conceptual Framework for Consistency Management in Model-Based Systems Engineering , 2011 .

[10]  J.L.M. Lastra,et al.  Semantic Extension for Automation Objects , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[11]  Christoph Legat,et al.  Knowledge-Based Technologies for Future Factory Engineering and Control , 2012, Service Orientation in Holonic and Multi Agent Manufacturing and Robotics.

[12]  Alexander Fay,et al.  Risk minimization in modernization projects of plant automation — A knowledge-based approach by means of semantic web technologies , 2011, ETFA2011.

[13]  Waguih ElMaraghy,et al.  Enterprise Strategic Flexibility , 2012 .

[14]  Konstantin Kernschmidt,et al.  An interdisciplinary SysML based modeling approach for analyzing change influences in production plants to support the engineering , 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).

[15]  Birgit Vogel-Heuser,et al.  Evolution in industrial plant automation: A case study , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[16]  Christiaan J. J. Paredis,et al.  Multi-view Modeling to Support Embedded Systems Engineering in SysML , 2010, Graph Transformations and Model-Driven Engineering.

[17]  Kosmas Alexopoulos,et al.  AutomationML server - A prototype data management system for multi disciplinary production engineering , 2012 .

[18]  Svetan Ratchev,et al.  Equipment ontology for modular reconfigurable assembly systems , 2005 .