Early detection of small shifts in the manufacturing process enables you to react faster and fix the process, saving time and money.

An SPC (Statistical Process Control) Software customer recently inquired if I could discern any issues in a process, as their customer had identified problems with three recent shipments. They provided data for the customer’s current year shipments for a variety of KPI (key process indicators) in an Excel file. 

Operators can now quickly identify issues on the production line without spending all day reviewing control charts. This is how they do it. 

Quality and time and valuable commodities for all manufacturers. Basic use of statistical process control (SPC) enables you to improve both quality and efficiency. But when you take SPC analysis to the next level, you get even greater benefits.

Statistical process control provides enough information and depth to optimize even the most complex processes. It’s also easy to get lost in the weeds of SPC analysis. Here’s how to stay focused on your goals. 

Your process is in control. Congratulations! Now how do you keep it in control? Employ these SPC methodologies to maintain a stable process.

The holiday season is over. You made it! You can take a breath. You are ready for the hustle and bustle of 2020. There will be new projects, challenges, and successes.

How do you pick the best control chart for your specific situation? Start with a solid understanding of why you’re collecting the data.

Learn seven key considerations for designing a sampling plan that incorporates proper sampling frequency and rational subgrouping.