The wider adoption of digital twins is becoming a transformative tool for automotive factory planning, operational scaling for new models and launches, and process optimisation. These virtual models, which combine data visualisation and simulation, can support waste reduction, improve layout and equipment implementation, improve collaboration across suppliers and departments, and ultimately accelerate start of production and product time to market.
In this AMS livestream, the first in a new series focused on smart factory and digitalisation, our editors and experts will examine how digital twins are being scaled for large and small automotive production projects. The livestream will explore how this $50 billion industry is reshaping automotive manufacturing, showcasing trends and use cases for how digital twins and simulations can improve shopfloor operations, from using edge analytics to create models for new plants, the integration of IoT in production processes, and the full-scale digital scanning of existing factories.
AMS will also examine how the integration of artificial intelligence, including machine learning and genAI, can further enhance factory performance. Production leaders, manufacturing engineers and digital specialists will discuss benefits, and key steps to maximise the potential of digital twins, including the importance of data management in creating accurate and effective models.
Key themes:
1. Latest trends and developments in digital twins
- Explore how digital twin technology is evolving and transforming automotive production.
- Understand the key applications driving efficiency and innovation in manufacturing.
2. Enhancing production outcomes with digital twins
- Learn how simulations and virtual models streamline production, reduce costs, and accelerate innovation.
- See how manufacturers are leveraging digital twins to optimise workflows and improve real-time decision-making.
3. Improving collaboration and speeding up development
- Discover how digital twins enable cross-functional collaboration, from product design to production validation.
- Understand how manufacturers are using digital twins to shorten development cycles and improve quality assurance.
4. Combining AI and digital twins for smarter decision-making
- Learn how AI-driven digital twins enhance predictive analytics, automation, and operational efficiency.
- Explore strategies for data integration and management to maximise the impact of digital twins in manufacturing.
Why should you attend?
Did you know?
- By 2027, over 50% of manufacturing facilities globally will use digital twins to optimise operations.
- Companies adopting digital twins see a 10-15% increase in productivity within the first year of implementation.
Digital twins have become an important part of the digital toolbox, supporting the planning of new factories and lines, the introduction of new processes and the scaling up of output. This is essential knowledge for all who work in automotive manufacturing for many reasons:
- Rising adoption: 2025 is predicted to see a 30% increase in digital twin deployment across smart factories globally, particularly within the automotive sector.
- Cost management: Digital twins offer solutions to reduce downtime, streamline workflows, and address rising production costs.
- Speed to market: Meeting the need to shorten the time scale between product development and SOP.
- Sustainability pressures: Companies are turning to digital twins to meet ambitious emissions and waste reduction targets.
Who is it for?
This livestream is tailored for decision-makers in automotive manufacturing, including executives, directors and managers from OEMs, tier suppliers, technology providers and EV manufacturers. Whether you’re focused on manufacturing, digital transformation, engineering, data analytics or R&D/Innovation, this session will provide valuable insights to enhance your strategy.
Speakers:
Dr Walter Huber
Director Process Methods and Tools for ME and Production
Webasto
In his professional positions at Siemens, Staufen AG, MT Aerospace and currently Webasto, Dr. Walter Huber was primarily responsible for strategic changes. He is currently employed at Webasto as Director in the Production/Manufacturing Engineering department. The book entitled Industry 4.0 in Automotive Production has also been published by Springer Verlag. Another book entitled How technologies are changing our economy and our companies is also being published by Springer Verlag.
Keenan O’Brien
Head of Digital
Stellantis
Keenan O’Brien is the Head of Digital at Stellantis’ North American Vehicle Process Engineering division. A seasoned leader in digital transformation, he oversees a team of digital manufacturing and technology experts integrating innovative solutions within manufacturing. His team supports digital factory planning and optimizes operator-based assembly through cutting-edge digital tools for Virtual Design Construction, Virtual Assembly, Additive Manufacturing, Extended Reality, and laser scanning.
Nick Holt
Editor
AMS
With over 20 years experience covering the automotive industry, Nick is responsible for editorial across Automotive Manufacturing Solutions. He has gained wide experience in automotive production operations, visiting OEM and tier supplier factories in Europe, India, China and the US.
With a keen eye for detail and a knack for storytelling, Ilkhan has established himself as a trusted voice in the automotive world, specialising in engaging thought leaders and writing insightful features on topics ranging from EVs and smart factories through to automotive logistics and supply chain management.
Sponsored by Cintoo
Cintoo is an all-in-one platform solution for managing and leveraging reality and 3D scan data. The Cintoo platform allows users to easily and quickly upload and stream huge 3D data files, with no compromise to accuracy. With Cintoo, organizations make the best use of laser scanning investment and improve collaboration between teams, vendors, contractors and customers.
Cintoo transforms laser scans into a high-resolution 3D mesh, 10 to 20 times smaller in size than the source point cloud which creates a highly accurate digital twin of the project site. Once the mesh is in the cloud, the data then becomes shareable, actionable and distributable via a simple browser. Scans can be organized into work-logic zones with access rights management, and enriched with automatic measurements, annotations, asset tagging, issue tracking, imported BIM/CAD models, and AI equipment classification. Other fully integrated functions, such as comparison tools, Document Management and IoT services, assist with enhanced assessment of Digital Twin’s accuracy and completeness, allowing seamless accuracy between the as-built and as-designed conditions.
Cintoo redefines how transformative industries leverage reality capture data and maximize digital twin programs. Empowering stakeholders to virtualize, classify and verify.