Paper The following article is Open access

An approach for the identification of production process variables in cross-process chain production processes like battery cell production

, and

Published under licence by IOP Publishing Ltd
, , Citation A Aichele et al 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1193 012110 DOI 10.1088/1757-899X/1193/1/012110

1757-899X/1193/1/012110

Abstract

Europe is currently not competitive in battery cell production. In order to increase competitiveness, battery cell production must be made more efficient. A major factor in improving efficiency is the reduction of waste. This requires understanding the many dependencies between the production process variables within battery cell manufacturing. For clarifying these dependencies, knowledge of the variables is essential. The challenge here is to completely determine them. For this purpose, different tools and methods are applied. But, in the case of cross-process chain production processes like battery cell production, they quickly reach their limits because these tools are not suitable for the structure and properties of the respective processes. The aim of the approach presented here is to support a complete identification of all process variables of battery cell production in the best possible way.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1757-899X/1193/1/012110