From Components to Vehicle Assembly: How Škoda Auto Scales Digital Manufacturing with a Modular Visualization Platform

Business Impact: Real Results

• From paper instructions to real-time digital guidance — operators always see the right process at the right moment.
• Full integration of production systems — work instructions, quality control, inconsistency records, training, ESD checks, and more — into a single interface.
• High degree of dynamic personalization — one template can generate dozens or even hundreds of unique variants.
• Simplified operator experience — fewer discrepancies, faster onboarding, seamless support from supervisors.
• Cloud-native microservice architecture on OpenShift — scalable, resilient, and future-ready for complex manufacturing environments.
• Supporting Škoda Auto’s dProduction 2.0 initiative to digitalize vehicle manufacturing end to end.

The Challenge: Complexity in Modern Manufacturing

Automotive production requires precision and adaptability. Each component line produces multiple product variants depending on customer configuration. Paper-based instructions, manual records, and fragmented IT systems created risks of mismatches, delays, and inefficiencies.

As Škoda Auto moved toward higher digital maturity, it needed a unified platform to guide operators, ensure quality, and simplify communication across increasingly complex production lines.

The Solution: Modular Visualization Platform (mVIS)

Together with Trask, Škoda Auto designed mVIS to bring everything an operator needs into a single touch-screen interface:

• Real-time guidance — instantly shows the correct instructions for the component or vehicle in front of the operator.
• ‍Integrated quality checks — scan results, torque measurements, and inspections displayed instantly.
• ‍Unified environment — work instructions, digital assembly trace cards, deviation reporting, training records, and more in one place.
• ‍Visual tasks — configurable screens combining data from multiple systems, created easily via drag-and-drop by quality staff, dispatchers, or technologists.
• ‍Seamless support — operators can call a supervisor directly from the interface, with alerts displayed on overhead monitors showing live production status.

This approach eliminates paper instructions, manual stamps, and fragmented processes. At the same time, it ensures secure login, full traceability, and verification that each operator is trained and authorized for their tasks.

With mVIS, our operators always have the right information and support at the right moment, making their work easier and more reliable. At the same time, the platform plays a key role in our dProduction 2.0 strategy, helping us transform vehicle assembly into a fully digital, scalable, and future-ready process.

— Libor Žofka – Product Owner of mVIS Visualization Platform

Scaling Up: From Components to Full Vehicles

After proving its value on component lines, mVIS is now rolling out to Škoda Auto’s vehicle assembly line in Kvasiny. This marks a step change in scale — higher volumes, more devices, more users, and broader use cases.

To support this expansion, the platform runs as a cloud-native system built on containerized microservices and operated in the OpenShift environment. Event-streaming technologies such as Kafka ensure the flexibility, scalability, and resilience required by Škoda Auto’s digital transformation goals.

A key strength of mVIS is its multivendor interface. It brings data from different systems into a single, unified screen, provided the inputs follow a defined format. This avoids vendor lock-in and creates an open environment that welcomes integration of third-party systems.

The deployment is a direct contribution to dProduction 2.0, Škoda Auto’s strategic initiative to digitalize the entire car manufacturing process.

About Škoda Auto

Founded in 1895, Škoda Auto is one of Europe’s oldest and most innovative car manufacturers. Today, as part of the Volkswagen Group, Škoda operates globally and leads efforts to bring digital innovation into automotive production.