Increasing complexity of machine and plant automation represents a growing challenge in its
innovation process. Dependencies between various engineering disciplines and the different frequencies
of innovation cycles further complicate the analysis, modeling and design of machine and plant
automation. In order to investigate innovation impacts and to derive management measures, interviews
with experts from machine and plant manufacturing companies were conducted. Paradigm changes were
identified as innovation triggers; missing solutions for module management as well as the diversity of
variants and versions were considered as innovation inhibitors. The results of the interviews, regarding
the specification of the identified innovation triggers and inhibitors, are presented.
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Increasing complexity of machine and plant automation represents a growing challenge in its
innovation process. Dependencies between various engineering disciplines and the different frequencies
of innovation cycles further complicate the analysis, modeling and design of machine and plant
automation. In order to investigate innovation impacts and to derive management measures, interviews
with experts from machine and plant manufacturing companies were conducted. Paradigm changes were
identi...
»