Apply for MAST-P Support

Michigan manufacturers: Access capital and support services through the Michigan Auto Supplier Transition Program (MASTP) and position your business for the future of mobility.

Automation Alley Trade Missions

Your Gateway to New, High-Growth Markets.

Join Project DIAMOnD Academy

Register for the Integr8 2026 Series

Register for AME 2026

July 29-30 in Grand Rapids, MI 

How to use a closed-loop digital system to move from post-production quality control to real-time process control

by | Jun 8, 2026

Summary

Metrologic DCS explains how a closed-loop digital quality system enables manufacturers to shift from post-production inspection to real-time process control by combining simulation, automated machining correction, and deviation analysis to predict, prevent, and correct process drift before it impacts production.

In many demanding industrial environments, such as mass production or precision machining, the key challenge is to maintain consistent quality while controlling costs. But in this context, processes are naturally subject to drift: tool wear, machine variations, or fluctuations in production conditions. This makes it difficult to maintain stability, particularly during ramp-up phases.

Hence the need for a tool capable of responding to these drifts: the Manufacturing Quality Pack.

What is the primary aim of the Manufacturing Quality Pack?

The aim of the Manufacturing Quality Pack is to change our approach: rather than suffering the drifts described earlier, we try to anticipate, analyze, correct and even predict them, as quickly as possible, thanks to a genuine closed loop between metrology, methods and production.

Read this article in full here.

Metrologic DCS

Metrologic DCS combines best-in-class industrial metrology and dimensional engineering expertise. Metrologic Group contributes its best-in-class universal 3D metrology software, multi-sensor measurement execution, and interoperability across machines and technologies. DCS is the world leader in dimensional engineering and variation analysis. Together, these complementary capabilities create a unique, end-to-end approach to quality.

More

Related