Work

Process Optimization in Process Planning using a Multidimensional Approach in the Automotive Assembly

Year: 2024

Type: article

Abstract: The potential for process planning and optimization is significantly increasing by the growing amount of data that is available in manufacturing systems. These potentials often remain unused as a result of a lack of data analytics methodology and low data quality. Therefore, in this paper, a methodology for identifying potentials for process optimization in the early phase of process planning in automotive assembly is presented. We use historical data in a multidimensional approach including ergonomic risk, rework and operation time relevant data in order to identify best- and worst-case scenarios. The approach is applied exemplarily for one vehicle component.

Source: Procedia CIRP

DOI: 10.1016/j.procir.2024.08.303

Authors: Thomas Mayr, Marco F. Huber, Ralph Hensel, Mathias Keil

Institutions: University of Stuttgart, Audi (Germany), Fraunhofer Institute for Manufacturing Engineering and Automation

Language: English

Topic: Manufacturing Process and Optimization

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg