Gary Mintchell

AUGUST 11, 2023

Machine Learning works better today because we have ten years of improved data infrastructure along with much statistical modeling thanks to such initiatives as Six Sigma. Our premise is to reduce overdosing by building a statistical model that can capture and process hundreds of parameters.”

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Automation Mag

JANUARY 10, 2023

However, the one that it has reinforced is the importance of being able to control the entire manufacturing process. Without complete process control, manufacturers are vulnerable to ever-changing buyer demand, unpredictability in supplier delivery, threats of substitutions and the rise of new competitors.

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Fabricating & Metal Work

JANUARY 7, 2024

During the pandemic slowdown, he served as a process engineer responsible for optimizing a washing process for electric vehicle parts. Along with this experience, he brings skills in quality and statistical process control, lean manufacturing, Six Sigma and Kaizen to his new position.

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iBASEt

APRIL 26, 2023

This combination of the Toyota production system, Lean Manufacturing and Six-Sigma is driving continual process improvements. In addition, more than 10 percent of the workforce has been certified as Six-Sigma Black and Green Belts. Other best practices are monthly, quarterly, and yearly performance reviews.

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Mold Making Technology

OCTOBER 22, 2023

A strategy behind this is to implement a foundational software platform for all metrology workflows across the manufacturing enterprise, providing power, ­flexibility and extensibility while maintaining repeatable process control. Hence, metrology automation software should support repeatable process control.

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ATS

MARCH 18, 2024

Statistical Quality Control: This is used to avoid the expense of 100% inspection. It consists of statistical acceptance sampling and statistical process control (SPC). SPC is used to manage variability within manufacturing processes by monitoring for statistically significant shifts from the mean.

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