Welcome to the 1st Workshop on

Models, Methods and Architectures for Changeable Production Systems (MMA-CPS 2020)

About the Workshop

Aim and Target Audience

The term changeability refers to the resilience of an existing system to unforeseen requirements beyond a given flexibility. To achieve a certain degree of changeability in the production context, suitable software and system architectures, methods and models are necessary.

In principle, we consider changeable production systems as socio-technical systems in which people involved in production must be given adequate support, not least because of the higher dynamics. Since we do not consider a transformation of a production system to be fully automatic, corresponding transformation processes must be continuously fed back to the preparatory production planning. The models used and the system architecture should support this.

The workshop addresses researchers and practitioners who are familiar with the topic of "changeable production" from an engineering perspective (e.g. "how does production/production planning/control work today" or "what standards and norms exist in this domain"), but who are still more interested in innovative solutions. The scientific and technical discourse is the main focus of the workshop. From this, a community is to grow, which will further promote open innovation in the scientific and industrial environment.

Background

The organizers work together in the BMBF-funded I4.0 lighthouse project BaSys 4.2. The project is now in its fourth year of funding in the second funding period and aims to develop an open platform for I4.0 applications that is particularly suitable for small and medium-sized enterprises. The middleware developed in this course is available as open source software and includes, among other things, the currently first reference implementations of SDKs for administration shells in different programming languages via the Eclipse BaSyx project as well as a service platform for changeable production published on GitHub. The process or production control is based on so-called control components as a logical and uniform abstraction of functions of a (hardware-related) controller from a process point of view, which are addressed either via the administration shell or directly via OPC-UA. The functionality of the software is continuously evaluated and improved in the project by means of demonstrators and independent satellite projects. Close cooperation also exists with the Power4Production Center for Innovative Production Technologies and the (recently completed) BMBF project Hybr-iT ("Hybrid Teams in Versatile, Cyber-Physical Production Environments"), which use the BaSys software for process control.

Venue

The workshop will be held in the context of the annual conference of the (German) Informatics Society (GI), which takes place from 29.09 - 01.10.2020 in Karlsruhe, Germany. For further information please visit the conference website.

Topics of Interest

To realize a changeable socio-technical production system, a holistic view of the Reference Architecture Model Industrie 4.0 (RAMI 4.0) is required. In this workshop, a selection is to be considered that represents a common thread from the device controller to the human being.

In particular, the areas of interest are:

Submissions

Paper submissions ...

Proceedings shall be submitted to CEUR-WS.org for online publication.

Important Dates

If you plan to submit a workshop contribution, please note the following dates.

Contact

If you have any questions, please contact the organizers via EasyChair.

Organization

Organizing Committee

Daniel Porta
German Research Center for Artificial Intelligence (DFKI)

Daniel is a senior researcher at DFKI's research department Cognitive Assistants.

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Julian Grothoff
RWTH Aachen

Julian is a researcher at RWTH Aachen's Chair of Process Control Engineering.

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William Motsch
German Research Center for Artificial Intelligence (DFKI)

William is a researcher at DFKI's research department Innovative Factory Systems. He is also affiliated with the Smart Factory KL e.V.

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Programme Committee