User Guide and Sensor Selection Guide for Process Transparency

Affiliation
Fachhochschule Südwestfalen
Ilic, Sasa;
Affiliation
Fachhochschule Südwestfalen
Kramer, Patrick;
GND
138902062
ORCID
0000-0003-1048-4021
VIAF
95514480
Affiliation
Fachhochschule Südwestfalen
Marré, Michael

The digital transformation of manufacturing requires an accurate measurement and analysis of process parameters to optimize efficiency, quality and cost control. This paper introduces a structured sensor selection cycle, providing a systematic approach for identifying relevant metrics, evaluating sensor technologies and integrating them into existing production systems. The proposed methodology enables companies to enhance process transparency, leading to data-driven decision-making and more flexible production strategies.  Developed within the ZuPro2Flex research project, this framework offers practical guidance for aligning sensor technology with business model requirements

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