Papers by Clemens Schiffer

Title:	A Graph-Based Meta-Data Model for DevOps in Simulation-Driven Development and Generation of DCP Configurations
Authors:	Stefan H. Reiterer and Clemens Schiffer
Abstract:	In order to improve the quality of model based development and to reduce testing effort DevOps practices gain more and more importance. However, most system engineers are not DevOps specialists and there are a lot of manual steps involved when writing build pipelines and configurations of simulations. For this purpose an abstract graph-based metadata model is proposed which allows to auto generate scenario descriptions for the DCP standard and code for the build server where the simulation is set up and executed. A simple use case is described as an example of how this could be applied in practice. Furthermore, a Python implementation of a DCP master and a simple FMI to DCP wrapper are presented in this as well.
Keywords:	Continuous Integration, DevOps, MBSE, NoSQL Graph Data Bases, DCP, SysML, UML, SSP
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Reiterer:2021, title = "{A Graph-Based Meta-Data Model for DevOps in Simulation-Driven Development and Generation of DCP Configurations}", author = {Stefan H. Reiterer and Clemens Schiffer}, pages = {411--417}, doi = {10.3384/ecp21181411}, booktitle = {Proceedings of the 14th International Modelica Conference}, location = {Link\"oping, Sweden}, editor = {Martin Sj\"olund and Lena Buffoni and Adrian Pop and Lennart Ochel}, isbn = {978-91-7929-027-6}, issn = {1650-3740}, month = sep, series = {Link\"oping Electronic Conference Proceedings}, number = {181}, publisher = {Modelica Association and Link\"oping University Electronic Press}, year = {2021} }

Title:	Accurate Robot Simulation for Industrial Manufacturing Processes using FMI and DCP Standards
Authors:	Nihar Hasmukhbhai Shah, Perig Le Henaff, Clemens Schiffer, Martin Krammer and Martin Benedikt
Abstract:	Increased demand for customized products and reduced manufacturing times are key drivers towards modern, automated manufacturing systems. Manufacturing companies increasingly rely on simulation models of their manufacturing systems, with the goal to optimize critical production parameters and programming of their industrial assets. Simulation driven optimization concepts like digital twin and virtual commissioning are gaining popularity among manufacturing units to drive production rates higher. Manufacturing systems in the aerospace domain are highly complex, due to component size, tight tolerance requirements, and multi-tier manufacturing processes. Accurate simulations of robots and other programmable assets are needed, in order to lower the risk of collisions and manufacturing down times.In practice, this leads to inhomogeneous and even proprietary simulation environments, with different software interfaces. In this paper we introduce an accurate robotic arm simulation for industrial manufacturing robots that is based on open standards. This simulation environment is based on two open access standards, namely the Functional Mock-up Interface (FMI) and the Distributed Co-Simulation Protocol (DCP). In such a virtualized manufacturing process, the number of involved stakeholders is significantly higher. It includes software and simulation tool vendors, as well as robotic system providers. In such an environment, a modular software architecture based on open access standards is considered beneficial. The high number of aircraft customizations leads to continuous reprogramming of the involved systems. The challenge is to keep up with constant-quality manufacturing processes for aircraft components, requiring high levels of accuracy and reliability.
Keywords:	manufacturing, robotics, co-simulation, virtualization, standards
Paper:	full paper
Bibtex:	@InProceedings{modelica.org:Shah:2021, title = "{Accurate Robot Simulation for Industrial Manufacturing Processes using FMI and DCP Standards}", author = {Nihar Hasmukhbhai Shah and Perig Le Henaff and Clemens Schiffer and Martin Krammer and Martin Benedikt}, pages = {673--679}, doi = {10.3384/ecp21181673}, booktitle = {Proceedings of the 14th International Modelica Conference}, location = {Link\"oping, Sweden}, editor = {Martin Sj\"olund and Lena Buffoni and Adrian Pop and Lennart Ochel}, isbn = {978-91-7929-027-6}, issn = {1650-3740}, month = sep, series = {Link\"oping Electronic Conference Proceedings}, number = {181}, publisher = {Modelica Association and Link\"oping University Electronic Press}, year = {2021} }