The manufacturing landscape is undergoing a profound transformation in the era of Industry 4.0, characterized by the integration of digital technologies, automation, and data-driven decision-making. Quality 4.0 is at the heart of this evolution.

As businesses constantly refine their methods and gather data from various tools to get a clearer picture of how products move, they are increasingly reliant on automation.

Automation and robotics significantly enhance the efficiency and accuracy of coordinate measuring machines (CMMs) and CMM software.

As our world becomes increasingly influenced by digital innovation, the rise of connected worker technology marks a significant turning point in our approach to industrial operations. 

The Internet of Things (IoT) and, in a broader sense, the Fourth Industrial Revolution (Industry 4.0) is the omnipresent new paradigm in manufacturing today, profoundly affecting the way manufacturers are operating or are planning to operate.

Manufacturers can unearth valuable insights from test data from various sources by employing statistical algorithms and machine learning to establish patterns and predict future outcomes and trends.

A contemporary approach to statistical process control (SPC)—using real-time quality data—can help manufacturers reduce scrap, comply with regulations and standards, and meet customer requirements.

New and emerging technologies are used to address numerous goals.