Assessing the Impact of Process Awareness in Industry 4.0

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


The historical (and market) value of classic cars’ depends on their authenticity, which can be ruined by careless restoration processes. This paper reports on our ongoing research on monitoring the progress of such processes. We developed a process monitoring platform that combines data gathered from IoT sensors with input provided by a plant shop manager, using a process-aware GUI. The underlying process complies with the best practices expressed in FIVA’s Charter of Turin. Evidence (e.g., photos, documents, and short movies) can be attached to each task during process instantiation. Furthermore, car owners can remotely control cameras and car rotisserie to monitor critical steps of the restoration process. The benefits are manifold for all involved stakeholders. Restoration workshops increase their transparency and credibility while getting a better grasp on work assignments. Car owners can better assure the authenticity of their cars to third parties (potential buyers and certification bodies) while reducing their financial and scheduling overhead and carbon footprint.

Original languageEnglish
Title of host publicationProceedings of International Conference on Information Technology and Applications
Subtitle of host publicationICITA 2022
EditorsSajid Anwar, Abrar Ullah, Álvaro Rocha, Maria José Sousa
Place of PublicationSingapore
Number of pages11
ISBN (Electronic)978-981-19-9331-2
ISBN (Print)978-981-19-9330-5
Publication statusPublished - 19 May 2023
Event16th International Conference on Information Technology and Applications, ICITA 2022 - Lisbon, Portugal
Duration: 20 Oct 202222 Oct 2022

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference16th International Conference on Information Technology and Applications, ICITA 2022


  • Auto repair shop software
  • BPMN
  • Business process
  • Classic car documentation
  • DMN
  • GUI
  • Industry 4.0
  • Internet of things
  • Process awareness
  • Process mining
  • Process monitoring


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