Production planning in modern manufacturing is shifting from static assumptions to dynamic, data-driven simulation.
Brose, an automotive supplier specializing in components such as seat structures, door modules, and actuators, faced challenges with static planning methods that could not capture real-time production complexities. These approaches rely on fixed production schedules, disconnected planning tools, and limited cross-department data integration which create silos across welding, logistics, and assembly, reducing visibility into system-wide interactions.
To address this, Brose uses Siemens Plant Simulation to build digital twin models of its production system, which aims to enable end-to-end process visualization, bottleneck identification, buffer optimization, and evaluation of production scenarios through virtual testing before implementation.
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Image courtesy: Siemens
