Dongfeng Liuzhou Motor Enhancing data accuracy to reduce time spent on digital model queries by 50 percent
Take Control of Automotive R&D: Cutting Model Query Times by 50% with Teamcenter PLM
As vehicle architectures become increasingly complex, legacy data management tools and disconnected spreadsheets fail to support real-time cross-disciplinary collaboration. The customer success story “Dongfeng Liuzhou Motor: Enhancing data accuracy to reduce time spent on digital model queries by 50 percent” details how one of China’s leading automotive manufacturers modernized its R&D backbone using Siemens’ Teamcenter. Centralizing data management and establishing fully configured Bills-of-Material (BOMs) allows engineering teams to eliminate data inconsistencies, accelerate development cycles, and scale digital vehicle innovation.
What to Expect Inside the Asset:
- Streamlined Digital Queries: How centralizing multi-disciplinary CAD data cut time spent on model queries by 50% and reduced report output duration by 90%.
- Fully Configured BOM Management: Strategies for transitioning away from single-vehicle BOMs to enable flexible, made-to-order (MTO) commercial vehicle manufacturing.
- Real-Time Cross-Disciplinary Collaboration: Overcoming isolated tool silos to allow hundreds of R&D engineers to inspect full vehicle models and subsystems concurrently.
- Drastic Accuracy Gains: Achieving a 95% boost in data accuracy to catch design flaws early and eliminate costly late-stage manufacturing rectifications.
- Digitalization Foundation:Insights on leveraging standardized component libraries and paperless workflows to create a scalable foundation for future manufacturing digitalization.
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