Data based analysis and improvement of energy efficiency in the automotive body shop

Hanno Teiwes*, Markus Rössinger, Mark Gonter, Christoph Herrmann, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The energy demand of body shop manufacturing lines is primarily determined by decisions that are made in the early planning phase. However, energy related data which is needed in order to make well founded decisions is mostly unavailable in that phase. The lack of information leads to overdimensioned equipment and inefficient processes. Therefore, in this paper energy related data is acquired and analyzed from existing manufacturing lines. With an established energy and equipment database, the prediction of the future manufacturing lines energy demand is possible. In combination with a rule-based decision support, improvements are already possible in the early planning process. In comparison with existing approaches, the developed holistic methodology addresses all levels in the planning process and is exemplified by a use case in the automotive industry.

Original languageEnglish
Article number125269
JournalJournal of cleaner production
Volume284
Early online date8 Dec 2020
DOIs
Publication statusPublished - 15 Feb 2021
Externally publishedYes

Keywords

  • UT-Hybrid-D
  • Decision support
  • Energy database
  • Energy efficiency
  • Planning phase
  • Body shop

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