Quality Issues

Let's create the best possible product together

Quality issues heavily impact profitability and competitiveness. As a result, manufacturers are always striving to enhance product quality and increase production efficiency in order to keep up with customer demands and stay ahead of the competition. Today, we can use the capacities of AI to overcome this challenge.

What the pain is

Quality is key in manufacturing to meet customer expectations and uphold brand reputation.

Factors like insufficient quality control, complex manufacturing processes, and human error can lead to product defects.

The failure to maintain a high quality standard can lead to reduced market competitiveness.

How AI can help

AI enhances product quality in manufacturing by analyzing data to detect defects and applying predictive maintenance to prevent equipment failures.

Computer vision technology identifies defects beyond human capability, ensuring consistent quality.

AI also aids in production planning, optimizing runs, and minimizing changeover time for efficient, defect-free processes.

Selected breakthroughs

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Quartz Glass Quality Assessment Revolutionized

Streamlining the quality assessment process for quartz glass production, using a hybrid solution of signal processing and machine learning, increasing efficiency and accuracy in identifying the correct zero-order line.

SMART SEQUENCING FOR LOW SET-UP TIME

Jointly with MOSCA, we developed an AI designed for optimizing the sequencing of parts in fabrication processes. This application enhances operational efficiency and resource utilization by significantly reducing machine set-up time

Sales support via virtual assistance

Together with elobau, we've developed an AI virtual assistant focused on customer service and sales. Leveraging elobau's internal data, this tool enhances customer interaction and sales efficiency

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