Quality data can help manufacturers to advance quality and streamline their operations – if they collect it properly. 

Go-to. It’s become a very popular term, one we have all probably heard, particularly if we talk business or watch sports.

In today’s challenging manufacturing environment, quality obstacles can be difficult to foresee and prevent—and recover from.

Quality control can be held up by complex parts which take time to measure, internal issues such as non-compliance and rework, and external problems, such as customer complaints. These challenges slow down productivity.

Portable coordinate measurement machines (CMMs) are reliable measurement tools that help to minimize product defects.

3D scanning is the process of digitally gathering an object’s surface data to determine its shape, enabling users to either replicate the part by reverse-engineering it, or inspect it through dimensional analysis. 

Quality is hard to get right, regardless of industry. Many organizations treat quality implementation efforts, such as product quality tracking, to be burdensome but necessary.

As manufacturers are gradually tasked with delivering more output with smaller staffs and producing less scrap along the way, quality will help them sustain growth in a downsized manufacturing environment.

As manufacturers transition towards Industry 4.0, they must automate quality control efforts, too.

I’ve heard serendipity described as a happy coincidence. For me, it always had a little more meaning to it. It always felt like more than just a coincidence. More like a “meaningful connection.”