Poor work instructions and the impact of smart machines – by VIRO

Location: Einstein Seminar Room

VIRO offers 2 presentations between 3:30 PM – 4:30 PM.

What does a (bad) work instruction cost? (3:30-4:00 PM)

Poor work instructions can have a significant impact on your production process, from errors and downtime to inefficient collaboration with suppliers. But what is the real cost of this? In this presentation we will show how Model-Based Systems Engineering (MBSE) can help to reduce these costs. MBSE ensures accurate, structured and consistent work instructions that are integrated into the product architecture. This not only improves efficiency and collaboration, but also makes your company more flexible and better prepared for future challenges. Discover how MBSE can be the key to more efficient and scalable production.

Smart Industrial Machinery: The Impact of Smart Machines on Production Efficiency (4:00 – 4:30 PM)
How smart is your production environment? Smart industrial machines are causing major changes in production environments through the integration of robotic automation, artificial intelligence (AI) and predictive maintenance.
By using real-time data from sensors and IoT devices, these technologies optimize operational processes, reducing costs and maximizing productivity. Predictive maintenance models proactively address potential issues and ensure uninterrupted production, preventing costly downtime.

These developments result in a higher return on investment (ROI). This makes smart industrial machines not only a cost-effective measure but also a strategic investment that allows you to stay ahead of the competition. In addition, the integration of data-driven production strategies ensures a time-to-market reduction, allowing you to respond quickly and flexibly to market demands.

During this lecture we will zoom in on these possibilities and solutions using the SIM toolkit.

VIRO

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