(Re)deployment of Smart Algorithms in Cyber-Physical Production Systems Using DSL4hDNCS

Birgit Vogel-Heuser, Emanuel Trunzer, Dominik Hujo, Michael Sollfrank

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Intelligent algorithms and learning are the basis for evolving smart cyber-physical production systems (CPPSs) and Industrie 4.0. A smart image detection algorithm shall be added to reduce downtime due to the extended operation of glass bottles in a yogurt producing plant. To support the engineers in doing so, a comprehensive domain-specific language (DSL), DSL4hDNCS, is introduced, enabling rapid analysis, addressing hardware/software architectures and network-related delays and uncertainties. DSL4hDNCS is defined by a metamodel to avoid ambiguity and enriched by aspects, such as safety, calculation power, and network transmission time. DSL4hDNCS is used to compare (re)deployment alternatives using different technologies, such as edge, fog, and cloud to implement the additional smart algorithm. The evaluation of DSL4hDNCS using an acknowledged Industrie 4.0 demonstrator plant as a case study confirmed the benefit for engineers during the redesign.

Original languageEnglish
Article number9335970
Pages (from-to)542-555
Number of pages14
JournalProceedings of the IEEE
Issue number4
StatePublished - Apr 2021


  • Cyber-physical production system (CPPS)
  • distributed networked control systems (DNCSs)
  • domainspecific language (DSL)
  • programmable logical controller
  • smart algorithms
  • smart manufacturing


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