Modern automotive press shops are reaching their process limits due to increasing demands on car body shapes. At the same time, transmission of information and readjustment in the event of quality losses because of process errors is still largely controlled manually. The survey presented here, deals with better connected processes as well as data acquisition, and track and trace applications in press shops. The survey was directed to experts from the automotive industry and is to determine how automated and connected the processes in press shops already are. The survey was conducted from March till April 2020. With a total of 24 questions, an attempt is made to gain a comprehensive picture of the current status and the existing potential regarding smart press shops. In addition to questions on the marking and tracking of pressed parts, the objective is to find out which process data is already being recorded today and what conclusions can be drawn from it regarding the expected part quality. The evaluation of the survey is intended to build the basis for research activities on smart, connected press shops.
Keywords: Automotive; Body in white; Data mining quality information; Digitalisation; Part tracking; Press shop; Process connection; Process data.
© 2021 The Authors. Published by Elsevier Inc.