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ThinkMind // International Journal On Advances in Systems and Measurements, volume 13, numbers 3 and 4, 2020 // View article sysmea_v13_n34_2020_7


Investigation of Problems with High Initial and Update Efforts in the Modeling of Production Systems - A Review on System Modeling Approaches

Authors:
Marius Heinrichsmeyer
Amirbabak Ansari
Nadine Schlueter
Christian Boehmer

Keywords: Model Based Systems Engineering; Partial Automation; Failure Cause Localization; Production.

Abstract:
The need to use Model-Based Systems Engineering (MBSE) has seen an upswing, especially in recent years, for example, due to the ever-increasing complexity of products and production systems. Nevertheless, evaluations of the current state of research and experience from our own completed and ongoing DFG projects (KAUSAL, ReMaiN, and FusLa show that the use of MBSE in the industry is underestimated, mostly because of the enormous initial and update efforts in the modeling. Approaches that support system modeling, such as Modelica, SysML, and eDeCoDe or approaches for their partial automation only help to a limited extent to reduce the modeling effort when mapping production systems. For this reason, the research group of Product Safety and Quality (PSQ) intends to research possibilities and opportunities for partial automation in the modeling of production systems. To achieve this, the problem of excessive initial and update efforts when using MBSE explicitly in the modeling of production systems should first be highlighted and developed as research potential.

Pages: 264 to 274

Copyright: Copyright (c) to authors, 2020. Used with permission.

Publication date: December 30, 2020

Published in: journal

ISSN: 1942-261x

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