Title: Model-Based Engineering of CPPS Functions and Code Generation for Skills
Authors: Köcher, Aljosha 
Hayward, Alexander
Fay, Alexander 
Language: eng
Keywords: Code Generation;Functional Architecture
Issue Date: 28-Jan-2022
Document Type: Conference Object
Conference: IEEE 5th International Conference on Industrial Cyber-Physical Systems, ICPS 2022
Abstract: 
Today's production systems are complex networks of cyber-physical systems
which combine mechanical and electronic parts with software and networking
capabilities. To the inherent complexity of such systems additional complexity
arises from the context in which these systems operate. Manufacturing companies
need to be able to adapt their production to ever changing customer demands as
well as decreasing lot sizes. Engineering such systems, which need to be
combined and reconfigured into different networks under changing conditions,
requires engineering methods to carefully design them for possible future uses.
Such engineering methods need to preserve the flexibility of functions into
runtime, so that reconfiguring machines can be done with as little effort as
possible. In this paper we present a model-based approach that is focused on
machine functions and allows to methodically develop system functionalities for
changing system networks. These functions are implemented as so-called skills
using automated code-generation.
Organization Units (connected with the publication): Automatisierungstechnik 
URL: http://arxiv.org/abs/2201.13290v3
ISBN: 9781665497701
Publisher DOI: 10.1109/ICPS51978.2022.9816919
Appears in Collections:3 - Publication references (only metadata)

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