journal article Open Access Aug 02, 2023

Virtual-Simulation-Based Multi-Objective Optimization of an Assembly Station in a Battery Production Factory

Systems Vol. 11 No. 8 pp. 395 · MDPI AG
View at Publisher Save 10.3390/systems11080395
Abstract
The planning and design process of manufacturing factory layouts is commonly performed using digital tools, enabling engineers to define and test proposals in virtual environments before implementing them physically. However, this approach often relies on the experience of the engineers involved and input from various cross-disciplinary functions, leading to a time-consuming and subjective process with a high risk of human error. To address these challenges, new tools and methods are needed. The Industry 5.0 initiative aims to further automate and assist human tasks, reinforcing the human-centric perspective when making decisions that influence production environments and working conditions. This includes improving the layout planning process by making it more objective, efficient, and capable of considering multiple objectives simultaneously. This research presents a demonstrator solution for layout planning using digital support, incorporating a virtual multi-objective optimization approach to consider safety regulations, area boundaries, workers’ well-being, and walking distance. The demonstrator provides a cross-disciplinary and transparent approach to layout planning for an assembly station in the context of battery production. The demonstrator solution illustrates how layout planning can become a cross-disciplinary and transparent activity while being automated to a higher degree, providing results that support decision-making and balance cross-disciplinary requirements.
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Citations
26
References
Details
Published
Aug 02, 2023
Vol/Issue
11(8)
Pages
395
License
View
Funding
Scania CB AB and the Knowledge Foundation via the University of Skövde, the research project Virtual Factories with Knowledge-Driven Optimization Award: 2018-001
industrial graduate school Smart Industry Sweden Award: 2018-001
Cite This Article
Andreas Lind, Veeresh Elango, Lars Hanson, et al. (2023). Virtual-Simulation-Based Multi-Objective Optimization of an Assembly Station in a Battery Production Factory. Systems, 11(8), 395. https://doi.org/10.3390/systems11080395