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Competences for cyber-physical systems in manufacturing

First findings and scenarios
: Dworschak, Bernd

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Constantinescu, Carmen; Bauer, Wilhelm; Sauer, Olaf; Maropoulos, Paul ; Fraunhofer-Institut für Arbeitswirtschaft und Organisation -IAO-, Stuttgart; International Academy for Production Engineering -CIRP-, Paris:
Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution : 8th International Conference on Digital Enterprise Technology
Amsterdam: Elsevier, 2014 (Procedia CIRP 25)
International Conference on Digital Enterprise Technology (DET) <8, 2014, Stuttgart>
Bundesministerium für Bildung und Forschung BMBF
Initiative zur Früherkennung von Qualifikationserfordernissen; FRU0000495; FreQueNz
Netzwerk zur Früherkennung von Qualifikationserfordernissen
Konferenzbeitrag, Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAO ()

This paper presents research findings on competence needs for Cyber-Physical Systems (CPS) in manufacturing.These are from studies of the German Federal Ministry of Education and Research's initiative for early identification of skill needs (FreQueNz) as well as the Office of Technology Assessment at the German Bundestag (TAB). The findings are partly statements on possible future developments as at least according to the mentioned studies during theirperiods of inquiry the degree of CPS implementation in enterprises has beenfairly low. Further development of CPS competence needs depends on which combinations of technologies and work organization will come to prevail in the enterprises in the course of broader implementation. As this seems rather open, two of the studies di stinguish at least two ideal scenarios with regard to possible directions of competence developments. Within the first scenario more and more decisions would be taken by IT which would control the production employees.These are expected to intervene into the process in case of malfunctionsonly but cannot develop the respective competences during the trouble-free process. Within the second scenario the technology would serve as decision supporting system to employeesstill expected to optimize and able to intervene into the process. Starting from a maturity model of innovations, the presentation of research findings in this paper is linked to a thesis on the added value of stronger links between technology forecasting and early identification of skill needs. By such links early identification of skill needs could be focused at an early stage on topics which are considered by technology forecasting to have major potential. This could help reducing skill gaps at the diffusion stage of technological innovations.