Increasing Resilience of Production Systems by Dynamic Context Modelling and Process Adaption

Research output: Contribution to journalConference articleContributedpeer-review

Contributors

  • Tim Wunderlich - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Jonas Hansert - , University of Applied Sciences Karlsruhe (Author)
  • Sandro Koch - , Karlsruhe Institute of Technology (Author)
  • Robert Heinrich - , Karlsruhe Institute of Technology (Author)
  • Thomas Schlegel - , University of Applied Sciences Karlsruhe (Author)
  • Steffen Ihlenfeldt - , Chair of Machine Tools Development and Adaptive Controls, Fraunhofer Institute for Machine Tools and Forming Technology (Author)

Abstract

The requirements for cyber-physical production systems (CPPS) grow steadily, leading to increased complexity of such systems. To address issues due to reconfiguration or failures, we present an approach to creating a context model of the CPPS components during runtime and to detect deviations from the planned production processes. Furthermore, we present a concept for modelling production processes that allows for dynamic process adaption during runtime. We then utilize this process adaption and the context model to cope with unforeseen failures and increase the resilience of the system. Finally, we evaluate the feasibility of our approach by applying it to an Industry 4.0 production system.

Details

Original languageEnglish
Pages (from-to)282-287
Number of pages6
JournalProcedia CIRP
Volume118
Publication statusPublished - 2023
Peer-reviewedYes

Conference

Title16th CIRP Conference on Intelligent Computation in Manufacturing Engineering
Abbreviated titleCIRP ICME 2022
Conference number16
Duration13 - 15 July 2022
LocationOnline
CityNaples
CountryItaly

Keywords

Keywords

  • context awareness, cyber-physical production systems, process adaption, resilience