1st MoPro Workshop 2022
June, 28 '22
Hamburg
Call for Papers and Use Cases
The production domain is permeated by heterogeneous data sources, a variety of IT systems, and complex
industrial use cases - aspects that offer a very exciting field for research. Modern production systems
have a large number of sensors for monitoring industrial plants which help to gain an insight into a
system’s state. Sensors over time create data sets, that may be very detailed, need to be preprocessed
such as time reduced, quantitatively, and qualitatively reduced, e.g.black and white instead of colored
pictures, and enriched with metadata. To be able to define the datasets needed, we have to handle all
these dimensions.
Our approach to handle these dimensions is the concept of digital shadows.
A digital shadow is a set of contextual data traces and their aggregation and abstraction collected for
a specific purpose with respect to an original system. These digital shadows are then used by digital twins.
For us, a digital twin is a set of models of the system, a set of digital shadows and their aggregation
and abstraction collected from a system, and a set of services that allow using the data and models
purposefully with respect to the original system.
Within
[BBD+21],
a conceptual model to describe
digital shadows, data structures tailored to exploit models and data in smart manufacturing, was presented
through a metamodel and its notion space. Using models helps handle this complexity in real-world scenarios.
The MoPro'22 Workshop aims to be a platform for researchers and practitioners within the production domain
to exchange their modeling
techniques, interesting use cases and challenges.
Topics include the following but are not limited to:
- Modeling Digital Shadows
- Modeling Processes, Machines, Material, Products
- (Domain-Specific) Modeling Languages for Production
- Model-driven Software Engineering of Digital Twins for Production
- Ontologies for Manufacturing
- Modeling FAIR Data Principles for Manufacturing Data
- Modeling Human Factors
- Model-Driven Data Exchange between Enterprises
- Modeling Sustainability in Production Processes and Products
- Model-Driven Resilience
The workshop will be held for the first time in the context of the
Modellierung'22 conference in Hamburg, Germany.
Submission Formats
- Research Paper: Desribe your recent research as a short paper (5 pages) or full paper (14 pages).
- Novel Directions Talk: Proposals for talks (2 pages) that motivate a novel research direction,
outline the research gaps to address, and carve out major challenges. These talks shall serve as a
stimulus for discussions as part of a dedicated slot in the workshop program.
- Digital Shadow Use Case: Authors are welcome to describe one concrete Use Case of a
digital shadow (3-6 pages) within the production domain.
We strongly encourage the authors to discuss their use case based on the conceptual model for digital
shadows provided in [BBD+21].
Please use the following structure:
- Motivation: Why do you need a digital shadow?
- Use case description: For what do you need a digital shadow? Describe your uses case
in a way non-domain experts are able to understand it.
- The Digital Shadow: How does the digital shadow look like? Describe relevant assets,
data traces, data points, meta-data and models.
- Impact: How does this digital shadow support your business and processes?
- Discussion of challenges & threats: What do you consider as challenges
in using the digital shadow?
- Conclusion
Author Guidelines and Submission
The submissions have to be formatted according to the
LNI guidelines
of the German Informatics Society.
Submission language is English. The workshop is planned for a mainly German-speaking group of participants.
The papers will be peer-reviewed by the program committee and accepted publication will be published within the
common workshop proceedings at the Digital Library of the
German Informatics Society.
Submission Link: EasyChair
Important Dates
- 23.04.2022 02.05.2022: Submission Deadline
- 14.05.2022 20.05.2022: Author Notification
- 26.05.2022 01.06.2022: Camera-ready deadline
- 28.06.2022: Presentations
Program Committee
- Pascal Bibow, RWTH Aachen University (IKV)
- Philipp Niemietz, RWTH Aachen University (WZL)
- Felix Ocker, Technical University of Munich
- Rick Rabiser, JKU Linz
- Bianca Wiesmayr, JKU Linz
- Manuel Wimmer, JKU Linz
- Andreas Wortmann, Universität Stuttgart
- Alois Zoitl, JKU Linz
References
- [BBD+21] F. Becker, P. Bibow, M. Dalibor, A. Gannouni, V. Hahn, C. Hopmann, M. Jarke, I.
Koren, M. Kröger, J. Lipp, J. Maibaum, J. Michael, B. Rumpe, P. Sapel, N. Schäfer, G. J. Schmitz,
G. Schuh, A. Wortmann: A Conceptual Model for Digital Shadows in Industry and its Application.
In: A. Ghose, J. Horkoff, V. E. Silva Souza, J. Parsons, J. Evermann, editors, Conceptual Modeling,
ER 2021, pp. 271-281, Springer, Oct. 2021. URL:
https://link.springer.com/chapter/10.1007/978-3-030-89022-3_22
- [BDJ+22]
P. Brauner, M. Dalibor, M. Jarke, I. Kunze, I. Koren, G. Lakemeyer, M. Liebenberg, J. Michael, J. Pennekamp,
C. Quix, B. Rumpe, W.M.P. van der Aalst, K. Wehrle, A. Wortmann, M. Ziefle:
A Computer Science Perspective on Digital Transformation in Production.
In: ACM Transactions on Internet of Things, Vol. 3(2), pp. 1-32, ACM, May 2022. URL:
https://dl.acm.org/doi/10.1145/3502265