Delta modeling for variant-rich and evolving manufacturing systems

Matthias Kowal, David Lorefice, Christoph Legat, Birgit Vogel-Heuser, Christian Prehofer, Ina Schaefer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

Manufacturing systems exist in many different variants and evolve over time in order to meet changing requirements or environment contexts. This leads to an increased design complexity as well as to increased maintenance effort. In order to appropriately handle this inherent complexity, we propose a multi-perspective modeling approach combining UML activity, component-based and state chart diagrams to separately represent different system aspects. We combine the multi-perspective modeling approach with delta modeling to capture the variability and evolution of these manufacturing systems. Delta modeling allows a exible, yet concise and understandable representation of variability in a modular manner. We examine our approach by applying it to a manufacturing lab demonstrator system with automated code generation from models obtained by delta application.

Original languageEnglish
Title of host publication1st International Workshop on Modern Software Engineering Methods for Industrial Automation, MoSEMInA 2014 - Proceedings
PublisherAssociation for Computing Machinery
Pages32-41
Number of pages10
ISBN (Electronic)9781450328517
DOIs
StatePublished - 31 May 2014
Event1st International Workshop on Modern Software Engineering Methods for Industrial Automation, MoSEMInA 2014 - Hyderabad, India
Duration: 31 May 2014 → …

Publication series

Name1st International Workshop on Modern Software Engineering Methods for Industrial Automation, MoSEMInA 2014 - Proceedings

Conference

Conference1st International Workshop on Modern Software Engineering Methods for Industrial Automation, MoSEMInA 2014
Country/TerritoryIndia
CityHyderabad
Period31/05/14 → …

Keywords

  • Evolution
  • Manufacturing systems
  • Model-driven development
  • Variability

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