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

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Sandro Koch - , Karlsruher Institut für Technologie (Autor:in)
  • Tim Wunderlich - , Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Jonas Hansert - , Hochschule Karlsruhe (Autor:in)
  • Thomas Schlegel - , Hochschule Karlsruhe (Autor:in)
  • Steffen Ihlenfeldt - , Professur für Werkzeugmaschinenentwicklung und adaptive Steuerungen, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik (Autor:in)
  • Robert Heinrich - , Karlsruher Institut für Technologie (Autor:in)

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

OriginalspracheEnglisch
TitelModellierung 2022
Redakteure/-innenMatthias Riebisch, Marina Tropmann-Frick
Herausgeber (Verlag)Gesellschaft fur Informatik (GI)
Seiten181-190
Seitenumfang10
ISBN (elektronisch)9783885797180
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Publikationsreihe

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

(Fach-)Tagung

TitelModellierung 2022
Dauer27 Juni - 1 Juli 2022
Webseite
OrtHochschule für Angewandte Wissenschaften Hamburg
StadtHamburg
LandDeutschland

Schlagworte

ASJC Scopus Sachgebiete

Schlagwörter

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