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- KonferenzbeitragMessage from the Modellierung’22 Workshop Chairs(Modellierung 2022 Satellite Events, 2022) Michael, Judith; Pfeiffer ,Jérôme; Wortmann, AndreasPreface of the Modellierung’22 Workshop, Tools und Demos Proceedings
- KonferenzbeitragKollaboratives Service Blueprinting zum Erlernen von betriebswirtschaftlichen Sachverhalten(Modellierung 2022 Satellite Events, 2022) Rachmann, Alexander; Polinski, ThomasIn zwei Lehrveranstaltungen wird die Modellierungssprache Service Blueprinting eingesetzt, um verschiedene betriebswirtschaftliche Sachverhalte zu vermitteln. Die Studierenden modellieren kollaborativ verschiedene Artefakte, gemeinsamer Nenner ist die Nutzung von Service Blueprints. Anhand von Anforderungen wird diskutiert, warum Service Blueprinting eine sinnvolle Wahl als Modellierungssprache ist. Beide Lehrveranstaltungen werden vorgestellt und ein Ausblick auf die weitere Entwicklung der Veranstaltung gegeben.
- KonferenzbeitragThe Simplified Platform, an Overview(Modellierung 2022 Satellite Events, 2022) Mulder, Mark A.T.; Mulder, Rick; Bodnar, Fiodor; van Kessel, Mirjam; Gomez Vicente, JorgeSimplified is a new approach to modelling and meta-modelling.This platform is a result of experience with a previous research tool for modelling Design and Engineering Methodology for Organisations (DEMO).It's cloud based development makes it suitable for research and business applications.The configurable notations, flexible user interface, and real-time transformation and visualisations makes the platform adaptable and understandable for every stakeholder.
- KonferenzbeitragEmbedding Textual Languages in MagicDraw(Modellierung 2022 Satellite Events, 2022) Drux, Florian; Jansen, Nico; Rumpe, Bernhard; Schmalzing, DavidStakeholders in model-based systems engineering projects often rely on heterogeneous modeling languages and tools. Efficient and seamless model-based engineering requires analyzing consistency, maintaining tracing information, and propagating changes of models of these languages even in different technological spaces. However, research on software language integration and inter-model consistency often only considers modeling languages and tools within the same technological space. We present a method for language composition across the technological spaces of the graphical modeling framework MagicDraw and the language workbench MontiCore. We realized language integration between these technological spaces by applying concepts of language aggregation to exchange essential model information and performing analysis on this information in an automated toolchain. The presented concepts can guide software language engineers and modeling tool developers on how to combine concepts of language composition to bridge technological spaces.
- KonferenzbeitragWorkshop “Modelle und KI”(Modellierung 2022 Satellite Events, 2022) Bork, Dominik; Fettke, Peter; Reimer, UlrichThe workshop focuses on topics at the intersection of the fields of conceptual modeling and AI and explores the value conceptual modeling brings to AI, and, vice versa, the value that AI can bring to conceptual modeling. This covers a wide range of issues such as how to combine learned and manually engineered models, data-driven modelling support, automatic incremental model adaptation, and how to achieve the explainability of learned models e.g. by utilizing conceptual models as background knowledge.
- KonferenzbeitragModeling Digital Shadows in Manufacturing by Using Process Mining(Modellierung 2022 Satellite Events, 2022) Brockhoff, Tobias; Uysal, Merih Seran; van der Aalst, WilFriction in shopfloor-level manufacturing processes often occurs at the intersection of different subprocesses (e. g., joining sub-parts). Therefore, considering the Digital Shadows (DSs) of individual materials/sub-parts is not sufficient when analyzing the processes. To this end, holistic views on shopfloor-level processes that integrate multiple DSs are needed. In this work, we discuss how material-centric DSs supported by discrete assembly events can be integrated using techniques from process mining. In particular, we propose to utilize DSs that contain additional structural information to overcome the main challenges of concurrency and the presence of many different objects.
- KonferenzbeitragModeling an Agricultural Process Coordination Problem to Enhance Efficiency and Resilience with Methods of Artificial Intelligence(Modellierung 2022 Satellite Events, 2022) Hubl, MarvinModeling of relations in a domain is a fundamental basis for solving domain problems. However, even well-formulated mathematical models do not always allow for satisfactory solutions. Here, methods from Artificial Intelligence bring value for solutions based on the formal models, e.\,g. by meta-heuristics. Furthermore, variables in a mathematical model may require manifestations although exact values are not known or measured. Machine-learning-based methods can enhance the appropriateness for the variable manifestation. We study upon these issues at the example of a process coordination problem in agricultural crop production. We analyze how methods of Artificial Intelligence can enhance processual efficiency and resilience. Therefore, two domain objectives are formalized: (i) maximization of machine utilization; (ii) maximization of aggregated area output. We identify and discuss the contribution of Artificial Intelligence for solving the mathematically formalized problem appropriately.
- KonferenzbeitragA Report on Automatic Generation of Petri Net Exercise and Exam Task Instances(Modellierung 2022 Satellite Events, 2022) Brandt, Andre; Siegburg, Marcellus; Voigtländer, Janis; Wang, KeWe report on generators for different task types addressing Petri net concepts from a modeling lecture for undergraduate students. A focus is on how to control difficulty and intended insights about the subject matter on the learners’ side. We explain the influence of provided configuration parameters for several task types on an exemplary instance each, and comment on presentation and implementation, as well as very briefly on exam experience.
- KonferenzbeitragWorkshop zur Modellierung in der Hochschullehre(Modellierung 2022 Satellite Events, 2022) Ullrich, Meike; Fettke, Peter; Pfeiffer, Peter; Schüler, Selina; Striewe, MichaelDer Workshop befasst sich mit dem Thema Modellierung – nicht wie üblich aus der Perspektive der Modellierung zum Einsatz in Industrie und Unternehmen, sondern aus dem Blickwinkel der Hochschullehre. Somit soll die Frage nach passenden Lernzielen, Lerninhalten und innovativen Unterrichtsmethoden für die Modellierung im Vordergrund stehen, ebenso wie die Frage nach geeigneten Prüfungsformaten und Bewertungsverfahren für die von Studierenden erstellten Modelle.
- KonferenzbeitragFeatures of AI Solutions and their Use in AI Context Modeling(Modellierung 2022 Satellite Events, 2022) Rittelmeyer, Jack Daniel; Sandkuhl, KurtDespite the implementation of many new artificial intelligence (AI)-based solutions in research and practice every year, companies still encounter problems while introducing AI solutions. One reason for that, from our own experience, are significant problems with understanding the concepts of AI. To cope with this problem, we aimed for developing a morphological box for AI solutions. The developed morphological box, its features and their values are based on four own industrial cases of AI solutions covering different application domains. We previously presented an enterprise architecture-based AI context model to help to better understand the context of an AI solution in a company and thereby minimize the risks of an implementation. We also analyzed that the morphological box supports the AI introduction process by improving and enhancing the three steps of the AI context model, which lead to more complete requirements for AI solutions.