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Modellierung 2022 Satellite Events / J. Michael, J. Pfeiffer, A. Wortmann (Hrsg.) Modellierung, Hamburg, Germany, 27 Jun 2022 - 1 Jul 2022; Bonn : Gesellschaft für Informatik e.V. 142-146 (2022). doi:10.18420/modellierung2022ws-017, Published by Gesellschaft für Informatik e.V., Bonn

Preface of the Modellierung’22 Workshop, Tools und Demos Proceedings

The production domain is permeated by heterogeneous data sources, a variety of IT systems, and complex industrial use cases - aspects that offer an exciting field for research. The MoPro Workshop aims to be a platform for researchers and practitioners within the production domain to exchange their modeling techniques, interesting use cases, and challenges. We are interested in the use of models for development, production, and usage cycles, as well as model-based and model-driven approaches that span these domains across disciplinary boundaries.

Human workers need to cope with complex production settings when handling and monitoring cyber-physical production systems. Assistive systems can provide situational step-by-step support for human behavior, e.g., when interacting with a machine or for manual assembly. These systems need to take personal knowledge, workers skills or personal restrictions into account and are therefore subject to privacy concerns. However, the engineering of such interactive assistive systems within the production domain is a complex task as they might support critical functionality in dangerous environments and have a high need for safety and privacy considerations due to processing personal data. We want to investigate how the software engineering process of assistive systems in production can be improved to achieve higher reusability. Current research focuses on specific use cases and implements systems specifically for those needs without reusability in mind. We suggest using behavior and context models in a generative approach, to create a reusable method to engineer assistive systems for production environments, either as own applications or as services integrated within digital twins. We have already applied model-driven methods for assistive systems in the smart home domain and discuss the opportunities and challenges of an application of these methods for the production domain. These methods can facilitate the engineering of assistive functionalities within applications in production while meeting privacy, adaptability, and context-sensitivity requirements.

Modellierung 2022 Satellite Events / J. Michael, J. Pfeiffer, A. Wortmann (Hrsg.) Modellierung, Hamburg, Germany, 27 Jun 2022 - 1 Jul 2022; Bonn : Gesellschaft für Informatik e.V. 150-153 (2022). doi:10.18420/modellierung2022ws-019, Published by Gesellschaft für Informatik e.V., Bonn

The vast amount of data in modern manufacturing demands acquisition of contextualized data to enable fast decision making where domain expertise must be provided at run-time. Within this paper, we investigate the research question how to handle human-machine-interactions for engineering of digital shadows and still ensure the traceability of computation and simulation results. Current research for digital shadows concentrates on modeling key elements such as data sharing or metadata, but does not incorporate human-machine-interaction or the traceability of data aggregation. In this paper, we present a conceptual model which covers the base concepts for digital shadows integrating human-machine-interaction by utilizing workflows. We extend the conceptual digital shadow model defined within the “Internet of Production” excellence cluster and showcase our approach on an example. This contribution presents an applicable modeling approach for designing digital shadows which provide contextual information of the underlying human integrated process.