Description

Is your quality control an active shield or just an autopsy of failed products?

If you are only checking quality at the end of the production line, you have already lost money on materials, energy, and time. Traditional quality control is reactive. In the era of Industry 4.0, the goal is not just to filter out defects, but to prevent them from happening in the first place.

In this episode of Factory on Air, we explore how digital transformation turns quality assurance into a real-time, predictive advantage. We dive into how IoT sensors and AI algorithms can detect invisible parameter deviations—like pressure drops or temperature spikes—and trigger automated reactions before a defect is created.

Join us to learn:

• From Detection to Prevention: Why shifting focus from end-of-line inspection to real-time process monitoring is crucial for reducing the Cost of Poor Quality (COPQ).
• The Role of AI: How artificial intelligence analyzes trends to predict potential defects, allowing you to stop a cycle before damage occurs.
• Empowering Operators: How digital tools and terminals engage frontline workers in the quality process, giving them the data they need to act fast.
• Real-World Impact: How the DBR77 platform helps manufacturers reduce quality-related costs by 20–30% within the first year by integrating quality data directly with the Digital Twin.

▶️ Tune in to Episode 24 to stop managing defects and start engineering perfection.

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For more information on how DBR77 is shaping the future of manufacturing, visit us at www.dbr77.com .