In order to remain competitive in today’s global economy, manufacturing companies are working to improve efficiency, productivity and quality. To do so, they must proactively prevent defects instead of corrective action. 

Traditional quality control systems are your factory’s guards, put in place to prevent the escape of defective products. But preventing defects from occurring in the first place is even better.

When it comes to medical and pharmaceutical manufacturing, errors can be dangerous.

Stop guessing which components in your supply chain are creating issues with your finished goods. Put lot genealogy to work in your business today.

The American Society for Quality (ASQ), along with many other organizations, define statistical process control (SPC) as the use of statistical techniques to control a process or production method.

Move more products, maintain customer satisfaction, and keep your bottom line in the black. Here’s how you do it and 3 reasons to do it now.  

Naturally, much of understanding anything—and where it might be going—is understanding how it began. 

Today, manufacturers are experiencing five-plus years of innovation on the plant floor in the space of 12 to 18 months. Changes that traditionally would have taken 5 to 10 years of innovation are now being rushed through on these kinds of sub-year timescales. That's quite phenomenal.

Company leaders often talk about the necessity of making continuous improvements. Spotting problems and fixing them could lead to higher output, fewer defects or recalls, and other advantages. Statistical process control (SPC) is one of the methods commonly relied upon to make progress.

As manufacturers look ahead to 2021 and beyond, they know that building resilience into operations is critical. They must achieve multiple goals: superior quality, lower costs, improved yields, efficient processes, and minimized waste. The opportunity for meeting all those goals depends on one foundational requirement: enterprise-wide visibility into data.