Proper fixturing addresses several key parts of quality: It ensures that inspected parts remain in a repeatable and reproducible orientation on a measuring device.
Total quality management is a way to describe a business environment where employees constantly improve their performance and are committed to maintaining high standards.
Dawn Brusseau, product marketing manager, Plex Systems Inc., says ERP software “provides a single source of truth for an organization” by keeping every member of an organization aware of current operations and creating traceability and a monitoring process.
Autonomous machine vision inspection provides quick, automated defect recognition and can implement the knowledge it gains, thereby decreasing false alarms and erroneous scrap.
Machine vision solutions help advance quality by recognizing defects at more efficient rates than humans can, making for more consistent and faster production cycles.
Although the CMM has been around for more than half a century, advancements have allowed it to maintain its position as the go-to technology for quality inspection.
Unlike manually operated gages or portable measurement devices, coordinate measuring machines (CMMs) can automate the measurement process and therefore remove quality inspection bottlenecks. Listen to the podcast with David Wick, manager of product management at ZEISS Industrial Quality Solutions
Digital gaging, involving the software and hardware used to capture and process digital measurements, has grown dramatically in the past two decades. It has also made quality more efficient and effective.
Before we address today’s testing trends, let’s look at the impact of the pandemic. The pandemic also created conditions that stressed manufacturers and caused major shifts in the way consumers purchase products, experts say.
A Growing Number of Manufacturers are Using Deep Learning Tools, a Subset of Artificial Intelligence, to Reduce Waste and Improve production. But, Experts Say, Some of it is Just Hype.
An increasing number of manufacturers are turning to deep learning, a subset of artificial intelligence (AI), to assist in image analysis processing, experts say.