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At the heart of this digital transformation lie three key enablers: Quality Information Framework (QIF), Model-Based Design (MBD) characteristics, and Universally Unique Identifiers (UUIDs). In this article, we delve into the synergistic relationship between these elements and explore how they collectively empower the Quality Digital Thread, driving efficiency, reliability, and innovation across the manufacturing enterprise.

The last decade has seen remarkable advancements in the field of manufacturing, driven largely by the integration of new technologies. Among these, portable 3D scanners have emerged as a game-changer, significantly impacting quality control processes. These devices have not only enhanced the precision and efficiency of quality inspections but also transformed the way manufacturers approach production and maintenance.

In the dynamic landscape of smart manufacturing, automation and advanced technologies such as Big Data, artificial intelligence (AI), and the Internet of Things (IoT) are reshaping production processes. With these advancements, one might assume that traditional measurement tools are becoming obsolete.

In the realm of industrial metrology, where precision and accuracy are paramount, the advent of generative artificial intelligence (AI) promises to revolutionize traditional measurement techniques and processes.

For manufacturers in the western hemisphere, the Center for Precision Metrology (CPM) at UNC Charlotte stands alone as the premier academic research center dedicated to delving into the impacts of these micro measurements.