The Christian Doppler Laboratory (CDL) Model-Integrated Smart Production (CDL-MINT) contributes to the foundations of software and systems modeling in general and in particular for smart Cyber Physical Production Systems (CPPS).
Production systems are becoming more and more software-intensive, thus turning into cyber-physical production systems (CPPS). This is also highlighted and reflected by Industrie 4.0, which is seen as the next industrial revolution. As with the previous industrial revolutions, new demands have to be satisfied, e.g., virtually exploring variants, finding optimal solutions, and making dynamic runtime decisions, to allow companies to be more competitive. As a consequence, however, the complexity of CPPS is increasing. To deal with this increased complexity, modeling is a promising approach in this context. However, current modeling foundations and practices are still lacking behind the emerging requirements of Industrie 4.0. First of all, models are still defined and used in isolation within a specific discipline, although it is known that CPPS are inherently multi-disciplinary systems and their optimization has to take this into account. Moreover, models are considered as static entities, mostly used as system blueprints in the early design phases, but they are basically neglected in later lifecycle phases, which drastically limits their value during the systems‘ operation for propagating important runtime information back to engineering.
The Christian Doppler Laboratory (CDL) Model-Integrated Smart Production (CDL-MINT) contributes to the foundations of software and systems modeling in general and in particular for CPPS. The main goal is to reach a revolutionary new notion of models, so-called liquid models, which implies going from isolated and static descriptions to cooperative and evolutionary prescriptions. By doing so, we stimulate a paradigm shift in modeling knowledge creation, dissemination, and evaluation leading to truly model-integrated smart production.
The work of CDL-MINT is divided into two project modules, whereby each will be conducted with one industrial partner. The topics of the two modules are all concerned with model-integrated smart production, thus using the notion of liquid models as a key research driver. The module Cooperative Simulation Megamodels is focusing on the cooperative nature of models by providing schemes for managing related models and their co-simulations in order to optimize production systems. The module Reactive Model Repositories is dealing with the extended usage of models also during operation time by providing a novel kind of model repository which allows for runtime monitoring, model mining, and design model enhancement. By this, both modules contribute to the notion of liquid models by providing (i) cooperation, and (ii) evolution mechanisms for models in general and in particular for the domain of CPPS. Consequently, these modules enable end-to-end integration of engineering which provides end-to-end transparency in real-time.
Contact: Manuel Wimmer, Andrea Mitter, Radek Sindelar, Sabine Wolny
A. Mazak, S. Wolny, M. Wimmer, D. Siegl, K. Wieland: Entwicklung einer domänenspezifischen Sprache zur Modellierung von Komponentenversionen und ihren Abhängigkeiten, Konferenz Tages des Systems Engineering (TdSE), 6.-8. November 2019, München, Germany. Programm final TdSE
A. Wurl, A. Falkner, A. Haselböck, A. Mazak, P. Filzmoser: A Conceptual Design of a Digital Companion for Failure Analysis in Rail Automation, 21st IEEE Conference on Business Informatics, CBI 2019, Moscow, Russia, July 15-17, 2019 Doi: 10.1109/CBI.2019.00073
S. Wolny, A. Mazak, B. Wally: An Initial Mapping Study on MDE4IoT, Workshop Paper, ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems (MODELS), Copenhagen, Denmark, October 14-19, 2018 paper
H. Isakovic, V. Bisanovic, B. Wally, T. Rausch, D. Ratasich, S. Dustdar, G. Kappel, R. Grosu: Sensyml: Simulation Environment for large-scale IoT Applications, in Proceedings of the 45th IEEE Annual Conference of the Industrial Electronics Society (IECON), Lisbon, Portugal, October 14-17, 2019 DOI: 10.1109/IECON.2019.8927756
B. Wally, L. Lang, R. Wlodarski, R. Sindelar, C. Huemer, A. Mazak, M. Wimmer: Generating Structured AutomationML Models from IEC 62264 Information, in Proceedings of the 5th AutomationML PlugFest 2019, Hamburg, Germany, September 25-26, 2019 Generating-Structured-AutomationML-Paper
B. Wally, J. Vyskocil, P. Novak, C. Huemer, R. Sindelar, P. Kadera, A. Mazak, M. Wimmer: Production Planning with IEC 62264 and PDDL, in Proceedings of the 17th IEEE International Conference on Industrial Informatics (INDIN 2019), July 22-25, 2019, Helsinki, Finland, pp. 492-499. pdf
B. Wally, J. Vyskocil, P. Novak, C. Huemer, R. Sindelar, P. Kadera, A. Mazak, M. Wimmer: Flexible Production Systems: Automated Generation of Operations Plans based on ISA-95 and PDDL, in IEEE Robotics and Automation Letters, Volume 4 , Issue 4, pp. 4062-4069, October 2019 doi: 10.1109/LRA.2019.2929991
A. Wurl, A. Falkner, A. Haselböck, A. Mazak, P. Filzmoser: Exploring Robustness in a Combined Feature Selection Approach, 8th International Conference on Data Science, Technology and Applications (DATA 2018), Prague, Czech Republic, July 26-28, 2019 (Best Paper Award). article
S. Wolny, A. Mazak, C. Carpella, V. Geist, M. Wimmer: Thirteen years of SysML: a systematic mapping study, Journal of Software & Systems Modeling, May 13, 2019, ISSN: 1619-1374, doi: 10.1007/s10270-019-00735-y
L. Burgueno, T. Mayerhofer, M. Wimmer, A. Vallecillo: Specifying Quantities in Software Models, Journal of Information and Software Technology, May 2019, doi: 10.1016/j.infsof.2019.05.006
B. Wally, C. Huemer, A. Mazak, M. Wimmer, S. Radek: Modeling Variability and Persisting Configurations in OPC UA, in Procedia CIRP, pp. 13-18, 52nd CIRP Conference on Manufacturing Sytems (CIRP CMS 2019) Doi: 10.1016/j.procir.2019.03.003
M. Wimmer, A. Mazak: From AutomationML to AutomationQL: A By-Example Query Language for CPPS Engineering Models, 14th International Conference on Automation Science and Engineering (CASE 2018), München; 20.-24.08.2018; in Proceedings of the 14th International Conference on Automation Science and Engineering, 2018, pages 1 - 10 program CASE18
S. Wolny, A. Mazak, M. Wimmer, R. Konlechner, G. Kappel: Model-Driven Time-Series Analytics, in Enterprise Modelling and Information Systems Architectures (EMISA), 13 (2018), pages 252 - 261. doi: 10.18417/emisa.si.hcm.19