Title: Functional modelling in production engineering workflows
Authors: Scholz, André 
Hildebrandt, Constantin 
Fay, Alexander 
Language: eng
Issue Date: 1-Jul-2017
Publisher: IEEE
Document Type: Conference Object
Page Start: 695
Page End: 700
Published in (Book): 2017 13th IEEE Conference on Automation Science and Engineering (CASE)
Publisher Place: Piscataway
Conference: 13th IEEE Conference on Automation Science and Engineering (CASE), 20-23 August 2017 , Xi'an, China
In this paper, a model-based approach for the engineering of production systems is presented, which can be used for structuring information about different viewpoints of a system as well as to support the engineering workflow. In an Industry 4.0-context, these models allow the description of the capabilities of machines or even factories from a functional perspective. This information can be used to react quickly on changes in the production environment, caused by product changes or changes in the requirements of the production process, like shorter production times or higher quality of the products. The information model described in this paper supports the adaption of production systems, since the impact of changes can be evaluated in a comprehensive view. Furthermore, the paper shows how the workflow can be designed to effectively plan with the information model. The proposed approach supports the Industry 4.0 related aspects [4] of smart and continuous engineering and horizontal integration.
Organization Units (connected with the publication): Automatisierungstechnik 
ISBN: 9781509067800
ISSN: 21618070
Publisher DOI: 10.1109/COASE.2017.8256184
Appears in Collections:3 - Reported Publications

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