Automated production data integration for energy-oriented process chain design

Ingo Labbus*, Christopher Schmidt, Antal Dér, Christoph Herrmann, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

5 Citations (Scopus)
31 Downloads (Pure)


Energy efficiency is an important aspect in automotive industry. While energy demand occurs during the operation phase of a production system, it is determined during the planning process. To enable a forecast of energy consumption during process chain design and a demand specific dimensioning of machine components, a modular framework consisting of specialized planning tools and an integrated database is developed. A seamless information flow based on OPC UA and AutomationML connects shop floor and planning environment and ensures data consistency. A database integrates available data sources and condenses acquired raw data to relevant reference data. The concept is prototypically implemented in a crank shaft production line.

Original languageEnglish
Pages (from-to)551-556
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden
Duration: 16 May 201818 May 2018
Conference number: 51


  • Energy efficiency
  • Production data acquistion
  • Production engineering


Dive into the research topics of 'Automated production data integration for energy-oriented process chain design'. Together they form a unique fingerprint.

Cite this