Autor: Sebastian Terstegen

Work Design in the Use of Autonomous Systems

Work Design in the Use of Autonomous Systems

Addressing the shortage of skilled workers
Tim Jeske ORCID Icon, Sascha Stowasser ORCID Icon, Nicole Ottersböck, Sebastian Terstegen, Rasmus Adler ORCID Icon
Companies are increasingly challenged to address shortages of skilled workers while meeting rising demands for productivity, flexibility, and innovation. Because labor supply can only be expanded to a limited extent, there is a growing focus on designing work systems with productivity in mind. Autonomous systems offer significant potential in this regard. Their implementation requires not only technical adjustments but, above all, changes in organization, skills, and work design. This article analyzes empirically grounded change requirements in existing work systems as well as associated economic potential.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 44-50 | DOI 10.30844/I4SE.26.5.5
Process Model for the Industry 4.0

Process Model for the Industry 4.0

Structured Introduction and Implementation of Digitalizations Measures in the Manufacturing Industry
Simon Hennegriff, Sebastian Terstegen, Sascha Stowasser ORCID Icon, Holger Dander ORCID Icon, Patrick Adler
Comparison and evaluation from research findings of 28 process models considering digitalization measures are presented. Furthermore, our own-developed process model, based upon interviews with professional managers, is reported. Our process model enables managers to deal with technology coming along with industry 4.0, such as the implementation of socio-technologies.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 3 | Pages 47-50
Holistic Digital Transformation of Work Processes

Holistic Digital Transformation of Work Processes

A regulatory framework for analyzing the maturity of processes
Sebastian Terstegen, Marc-André Weber, Frank Lennings, David Kese
Manufacturing companies, particularly small and medium-sized ones, should be supported in their Digital Transformation (Industry 4.0) and its implementation of necessary transformation measures. This article introduces a study on models and self-assessments for industry 4.0 maturity level analyses, together with a regulation framework for productivity management, which both helping companies to identify the potential that can be realised with Industry 4.0 considering their current economic activities and business options.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 2 | Pages 12-16