Source: Siemens
5 reasons why you should download the whitepaper
- Stay ahead of industry trends: Gain insights into the latest trends, such as electric vehicles and sustainability, and understand the challenges like supply chain issues and labour shortages, helping you remain competitive.Explore Siemens’s comprehensive solutions: Learn about Siemens’s innovative technologies that address key pain points, from automation to workforce training, offering practical solutions for your operations.
- Learn from real-world success stories: Discover how leading companies like VinFast, Porsche, and Volkswagen have implemented these solutions, providing inspiration and practical examples for your business.
- Achieve sustainability goals: Find strategies to reduce energy consumption and carbon footprint, aligning with global sustainability efforts and regulatory requirements.
- Enhance quality and productivity: Understand how data transparency and advanced technologies can drive improvements in quality control and operational efficiency, leading to better products and processes.
Key themes
- Next-level automation – The automotive industry is under pressure to increase production speed and efficiency while managing growing complexities in vehicle design. The whitepaper highlights how manufacturers can leverage AI, digital twins, and software-defined control to standardise processes, scale automation, and achieve real-time visibility across production lines.
- Efficient green production – Sustainability is a core priority, with a focus on reducing CO2 emissions and optimising energy consumption. Paint and body shops account for over 60% of total energy use, making targeted efficiency measures essential. Smart energy management, automated tracking, and AI-driven monitoring can cut energy costs by up to 50%, ensuring compliance with environmental regulations while maintaining productivity.
- Digital-enabled workforce – As automation increases, workforce transformation is essential. AI-driven training, virtual maintenance simulations, and cloud-based learning platforms enhance skill development, reducing training time by 50% and cutting manual errors by 40%.
- Data-driven quality systems – AI-powered defect detection and real-time process monitoring ensure flawless production quality. High-speed image acquisition achieves a 100% inspection rate, addressing the limitations of manual sampling, which fails to detect up to 60% of defects. Advanced analytics continuously optimise quality, reducing rework, improving first-time pass rates, and lowering production waste.
- Predictive maintenance – AI-based analytics and intelligent monitoring reduce unplanned downtime and enhance equipment effectiveness. Predictive maintenance increases system availability by 100%, while early fault detection cuts time-to-repair by 50%. Real-time monitoring of welding, conveyor, and robotic systems ensures consistent production flow, preventing costly disruptions.
- Flexible shopfloor orchestration and operation – Adaptive production systems improve efficiency in an era of rapid product diversification and supply chain volatility. AI-driven orchestration, real-time equipment monitoring, and automated shopfloor management increase production efficiency by 30%. Centralised updates and fleet management for AGVs and AMRs enhance flexibility, reducing commissioning time while optimising factory operations.