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Towards modeling variability of products, processes and resources in cyber-physical production systems engineering

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

Abstract

Planning and developing Cyber-Physical Production Systems (CPPS) are multi-disciplinary engineering activities that rely on effective and efficient knowledge exchange for better collaboration between engineers of different disciplines. The Product-Process-Resource (PPR) approach allows modeling products produced by industrial processes using specific production resources. In practice, a CPPS manufactures a portfolio of product type variants, i.e., a product line. Therefore, engineers need to create and maintain several PPR models to cover PPR variants and their evolving versions. In this paper, we detail a representative use case, identify challenges for using Variability Modeling (VM) methods to describe and manage PPR variants, and present a first solution approach based on cooperation with domain experts at an industry partner, a system integrator of automation for high-performance CPPS. We conclude that integrating basic variability concepts into PPR models is a promising first step and describe our further research plans to support PPR VM in CPPS.
Original languageEnglish
Title of host publicationSecond International Workshop on Variability and Evolution of Software-Intensive Systems (VariVolution 2019), collocated with the 23rd International Systems and Software Product Line Conference 2019
EditorsCarlos Cetina, Oscar Diaz, Laurence Duchien, Marianne Huchard, Rick Rabiser, Camille Salinesi, Christoph Seidl, Xhevahire Ternava, Leopoldo Teixeira, Thomas Thum, Tewfik Ziadi
Place of PublicationParis, France
PublisherACM
Pages49-56
Number of pages8
ISBN (Electronic)9781450366687
DOIs
Publication statusPublished - 09 Sept 2019

Publication series

NameACM International Conference Proceeding Series
VolumeB

Fields of science

  • 102 Computer Sciences
  • 102022 Software development
  • 102025 Distributed systems

JKU Focus areas

  • Digital Transformation

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