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

You need an enterprise-wide view of your quality data, as well as consistent data collection and analysis. Learn how to get it.

Cpk and Ppk metrics only tell part of the story. Learn how stream grading can fill in the gaps to help improve performance in a manufacturing environment.

Equipment failure can result in costly product loss for Food & Beverage operations. Learn how to prevent this kind of loss with an early warning predictor powered by SPC.

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. 

For quality professionals and engineers, the benefits of making statistical process control (SPC) easier are obvious. But how to you sell the idea to other stakeholders in your organization?

In the manufacturing world there are many different types of data collection. Some types involve production counts or machine up time, but this discussion is centered on data collection for establishing and monitoring product quality. 

Quality’s continuing conversation with Jason Chester, Director of Global Channel Programs for InfinityQS, on SPC and the smart factory. This is the final part of the three-part series of our conversation.

Statistical process control (SPC) software is a large part of data collection and analysis in the modern manufacturing environment where quality control is a necessity. To understand what is needed from SPC software nowadays, we need to first understand the difference between traditional, on-premise SPC software and an e-commerce SPC solution.