A Cross-Disciplinary Process Modelling Language for Validating Reconfigured Production Processes

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Sandro Koch - , Karlsruhe Institute of Technology (Author)
  • Tim Wunderlich - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Jonas Hansert - , University of Applied Sciences Karlsruhe (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)
  • Robert Heinrich - , Karlsruhe Institute of Technology (Author)

Abstract

Modelling and reconfiguration of production processes require knowledge across different domains. This in-depth knowledge is necessary to avoid possible side effects that could threaten the production plant, the workpiece or the worker. Therefore, process modelling approaches allow adding additional data to the steps of a process. Such additions can be constraints, which need to be fulfilled before a step can be executed. Upon reconfiguration of production processes, these constraints need to be validated to ensure that the objective of the process is still met. However, this task demands expertise in the field of process modelling as well as in the domain of the production process and the production plant. To the best of our knowledge, state-of-the-art production process modelling approaches are unable to determine the semantic validity of a reconfigured production process. In this paper, we introduce a domain-specific modelling language dedicated to model and validate constraints between production steps.With this approach, we aim to assist the operator in reconfiguring production processes. We evaluate this approach in three case studies and show that our approach can detect violated constraints in production processes.

Details

Original languageEnglish
Title of host publicationModellierung 2022
EditorsMatthias Riebisch, Marina Tropmann-Frick
PublisherGesellschaft fur Informatik (GI)
Pages181-190
Number of pages10
ISBN (electronic)9783885797180
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

SeriesLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
VolumeP-324
ISSN1617-5468

Symposium

TitleModellierung 2022
Duration27 June - 1 July 2022
Website
LocationHochschule für Angewandte Wissenschaften Hamburg
CityHamburg
CountryGermany

Keywords

ASJC Scopus subject areas

Keywords

  • cyber-physical production systems, domain-specific modelling language, process modelling, process validation, resilience