Skip to main navigation Skip to search Skip to main content

Efficient Multi-view Change Management in Agile Production Systems Engineering

  • Felix Rinker
  • , Sebastian Kropatschek
  • , Thorsten Steuer
  • , Kristof Meixner
  • , Elmar Kiesling
  • , Arndt Lüder
  • , Dietmar Winkler
  • , Stefan Biffl

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

Agile Production Systems Engineering (PSE) is a complex, collaborative, and knowledge-intensive process. PSE requires expert knowledge from various disciplines and the integration of discipline-specific perspectives and workflows. This integration is a major challenge due to fragmented views on the production system with a difficult a priori coordination of changes. Hence, proper tracking and management of changes to heterogeneous engineering artifacts across disciplines is key for successful collaboration in such environments. This paper explores effective and efficient multi-view change management for PSE. Therefore, we elicit requirements for multi-view change management. We design the agile Multi-view Change Management (MvCM) workflow by adapting the well-established Git Workflow with pull requests with a multi-view coordination artifact to improve over traditional document-based change management in PSE. We design an information system architecture to automate MvCM workflow steps. We evaluate the MvCM workflow in the context of a welding robot work cell for car parts, using a typical set of changes. The findings indicate that the MvCM workflow is feasible, effective, and efficient for changes of production asset properties in agile PSE.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Enterprise Information Systems - Volume 2 (ICEIS 2022)
EditorsJoaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi
PublisherSciTePress
Pages134-141
Number of pages8
ISBN (Electronic)9789897585692
DOIs
Publication statusPublished - 2022
Event24th International Conference on Enterprise Information Systems, ICEIS 2022 - Virtual, Online
Duration: 25 Apr 202227 Apr 2022

Publication series

SeriesInternational Conference on Enterprise Information Systems, ICEIS - Proceedings
Volume2

Conference

Conference24th International Conference on Enterprise Information Systems, ICEIS 2022
CityVirtual, Online
Period25/04/2227/04/22

Bibliographical note

Publisher Copyright:
Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

Keywords

  • Change Management
  • Industry 4.0
  • Multi-aspect Information System
  • Multi-view Modeling
  • Production Systems Engineering

Cite this