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  5. How to quantify the maturity of production processes
 
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How to quantify the maturity of production processes

Publication date
2025-05-27
Document type
Konferenzbeitrag
Author
Arabizadeh, Negar
Pfrommer, Julius
Beyerer, Jürgen
Organisational unit
Karlsruhe Institute of Technology, Vision and Fusion Laboratory (IES), Karlsruhe
Fraunhofer IOSB, Karlsruhe
DOI
10.24405/20028
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/20028
Conference
8th ML4CPS 2025 – Machine Learning for Cyber-Physical Systems 
Publisher
Universitätsbibliothek der HSU/UniBw H
Book title
Machine learning for cyber physical systems : proceedings of the conference ML4CPS 2025
First page
79
Last page
90
Is part of
https://openhsu.ub.hsu-hh.de/handle/10.24405/20018
Part of the university bibliography
Nein
Files
 openHSU_20028.pdf (576.76 KB)
  • Additional Information
Language
English
Keyword
Immature production processes
Maturity metrics for production processes
Complex system modeling
Abstract
Quantifying the properties of interest is a basic need in all fields of science and engineering. We propose formal definitions to quantify the maturity of production processes. The definitions are inspired by the concepts of controllability and observability from control theory. But instead of a binary classification of a system as controllable/uncontrollable and observable/unobservable, we consider a probability distribution for the remaining error. From the proposed maturity quantification, the remaining potential for optimizations can be evaluated. This is shown for the example of an electric arc furnace (EAF), for which high-fidelity simulation models are available.
Version
Published version
Access right on openHSU
Open access

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