Representing adaptation options in experimentable digital twins of production systems

References

• Antzoulatos, N., A. Rocha, E. Castro, L. de Silva, T. Santos, S. Ratchev, and J. Barata. 2015. “Towards a Capability-Based Framework for Reconfiguring Industrial Production Systems.” IFAC-PapersOnLine 48 (3): 2077–2082. doi:10.1016/j.ifacol.2015.06.395.
   Google Scholar
• Atorf, L., E. G. Kaigom, and J. Rossmann. 2013. “A New eRobotics Approach to Simulation-Based Analysis and Optimization.” In 2013 Sixth International Conference on Developments in eSystems Engineering, edited by A. Hussain, D. Al Jumeily, N. Radi, H. Tawfik, and R. Radvan, 15–20. Piscataway, NJ, USA: IEEE.
   Google Scholar
• Bauernhansl, T., J. Krüger, G. Reinhart, and G. Schuh. 2016. “WGP-Standpunkt Industrie 4.0.” https://www.ipa.fraunhofer.de/content/dam/ipa/de/documents/Presse/Presseinformationen/2016/Juni/WGP_Standpunkt_Industrie_40.pdf
   Google Scholar
• Delbrügger, T., L. T. Lenz, D. Losch, and J. Rossmann. 2017. “A Navigation Framework for Digital Twins of Factories Based on Building Information Modeling.” In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by C. Hadjicostis, R. Zurawski, C. Theocharides, L. Wisniewski, A. Ortiz, and L. Seno, 1–4. Piscataway, NJ, USA: IEEE.
   Google Scholar
• Erl, T. 2008. SOA - Entwurfsprinzipien für serviceorientierte Architektur. Addison Wesley in Pearson Education Deutschland. https://books.google.de/books?id=nns8cZY2sQAC
   Google Scholar
• Friedenthal, S., A. Moore, and R. Steiner. 2012. A Practical Guide to SysML: The Systems Modeling Language. 2nd ed. Waltham, MA: Morgan Kaufmann.
   Google Scholar
• Gamma, E., R. Helm, R. Johnson, and J. Vlissides. 1994. Design Patterns: Elements of Reusable Object-Oriented Software. 39th ed. Addison-Wesley professional computing series. Boston: Addison-Wesley.
   Google Scholar
• Hansson, M. N., E. Järvenpää, N. Siltala, and O. Madsen. 2017. “Modelling Capabilities for Functional Configuration of Part Feeding Equipment.” Procedia Manufacturing 11: 2051–2060. doi:10.1016/j.promfg.2017.07.357.
   Google Scholar
• Jørgensen, T. B., T. M. Iversen, A. P. Lindvig, C. Schlette, D. Kraft, T. R. Savarimuthu, J. Rossmann, and N. Krüger. 2018. “Simulation-Based Optimization of Camera Placement in the Context of Industrial Pose Estimation.” In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, edited by F. Imai, A. Tremeau, and J. Braz, 524–533. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications.
   Google Scholar
• Kästner, C., and S. Apel. 2008. “Integrating Compositional and Annotative Approaches for Product Line Engineering.” In Proceedings of the GPCE Workshop Modularization, Composition and Generative Techniques for Product Line Engineering. Vol. Number MIP-0804 of Informatics and Mathematics, University of Passau, edited by N. Loughran, I. Groher, R. Lopez-Herrejon, S. Apel, and C. Schwanninger, 35–40. Passau, Germany.
   Google Scholar
• Kästner, C., K. Ostermann, and S. Erdweg. 2012. “A Variability-Aware Module System.” In Proceedings of the ACM International Conference on Object Oriented Programming Systems Languages and Applications, edited by W. R. Cook, S. Clarke, and M. Rinard, 773–92. OOPSLA ’12. New York, NY, USA: ACM. http://doi.acm.org/10.1145/2384616.2384673.
   Google Scholar
• Kaufmann, D., and J. Roßmann. 2018. “Finite Element Analysis as a Key Functionality for eRobotics to Predict the Interdependencies between Robot Control and Structural Deformation.” In Tagungsband des 3. Kongresses Montage Handhabung Industrieroboter, edited by T. Schüppstuhl, K. Tracht, and J. Franke, 103–110. Berlin, Heidelberg: Springer Berlin Heidelberg.
   Google Scholar
• Keddis, N., G. Kainz, and A. Zoitl. 2014. “Capability-Based Planning and Scheduling for Adaptable Manufacturing Systems.” In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), edited by A. Grau and H. Martinez, 1–8. Piscataway, NJ, USA: IEEE.
   Google Scholar
• Khedri Liraviasl, K., H. ElMaraghy, M. Hanafy, and S. N. Samy. 2015. “A Framework for Modelling Reconfigurable Manufacturing Systems Using Hybridized Discrete-Event and Agent-Based Simulation.” IFAC-PapersOnLine 48 (3): 1490–1495. doi:10.1016/j.ifacol.2015.06.297.
   Google Scholar
• Koren, Y., X. Gu, and W. Guo. 2018. “Reconfigurable Manufacturing Systems: Principles, Design, and Future Trends.” Frontiers of Mechanical Engineering 13 (2): 121–136. doi:10.1007/s11465-018-0483-0.
   Web of Science ®Google Scholar
• Metzger, A., and K. Pohl. 2014. “Software Product Line Engineering and Variability Management: Achievements and Challenges.” In Future of Software Engineering, edited by M. Dwyer and J. Herbsleb, 70–84. New York, NY, USA: Association for Computing Machinery Inc and ACM.
   Google Scholar
• Negri, E., L. Fumagalli, and M. Macchi. 2017. “A Review of the Roles of Digital Twin in CPS-based Production Systems.” Procedia Manufacturing 11: 939–948. doi:10.1016/j.promfg.2017.07.198.
   Google Scholar
• Noda, N., and T. Kishi. 2008. “Aspect-Oriented Modeling for Variability Management.” In 12th International Software Product Line Conference, 2008, edited by B. Geppert, 213–222. Piscataway, NJ, USA: IEEE.
   Google Scholar
• Pohl, K., G. Böckle, and F. Linden. 2005. Software Product Line Engineering: Foundations, Principles, and Techniques. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg.
   Google Scholar
• Priggemeyer, M., D. Losch, and J. Rossmann. 2018. “Interactive Calibration and Visual Programming of Reconfigurable Robotic Workcells.” In 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), edited by S. Xie and K. C. Aw, 1396–1401. Piscataway, NJ, USA: IEEE.
   Google Scholar
• Rumbaugh, J., I. Jacobson, and G. Booch. 2005. The Unified Modeling Language Reference Manual: Covers UML 2.0. 2nd ed. The Addison-Wesley object technology series. Boston: Addison-Wesley.
   Google Scholar
• Schaefer, I., L. Bettini, V. Bono, F. Damiani, and N. Tanzarella. 2010. “Delta-Oriented Programming of Software Product Lines.” In Software Product Lines: Going Beyond, edited by J. Bosch and J. Lee, 77–91. Vol. 6287 of Lecture Notes in Computer Science. Berlin: Springer.
   Google Scholar
• Schluse, M., M. Priggemeyer, L. Atorf, and J. Rossmann. 2018. “Experimentable Digital Twins - Streamlining Simulation-Based Systems Engineering for Industry 4.0.” IEEE Transactions on Industrial Informatics 1. http://ieeexplore.ieee.org/document/8289327/
   Google Scholar
• Thieling, J., and J. Roßmann. 2017. “Virtual Testbeds for the Development of Sensor-Enabled Applications.” In Tagungsband des 2. Kongresses Montage Handhabung Industrieroboter, edited by T. Schüppstuhl, J. Franke, and K. Tracht, 23–32. Berlin, Heidelberg: Springer Berlin Heidelberg.
   Google Scholar
• Vogel-Heuser, B., J. Mund, M. Kowal, C. Legat, J. Folmer, S. Teufl, and I. Schaefer. 2015. “Towards Interdisciplinary Variability Modeling for Automated Production Systems: Opportunities and Challenges When Applying Delta Modeling: A Case Study.” In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN), edited by M. Cirstea, L. Gomes, P. Palensky, K.-F. Man, and P. Leitao, 322–328. Piscataway, NJ, USA: IEEE.
   Google Scholar
• Vorderer, M., S. Junker, A. Lechler, and A. Verl. 2016. “CESA 3 R: Highly Versatile Plug-And-Produce Assembly System.” In 2016 IEEE International Conference on Automation Science and Engineering (CASE), edited by K. Saitou,745–750. Piscataway, NJ, USA: IEEE.
   Google Scholar
• Weyer, S., T. Meyer, M. Ohmer, D. Gorecky, and D. Zühlke. 2016. “Future Modeling and Simulation of CPS-based Factories: An Example from the Automotive Industry.” IFAC-PapersOnLine 49 (31): 97–102. doi:10.1016/j.ifacol.2016.12.168.
   Google Scholar