Statistical Process Control (SPC) is a type of quality control practice which uses statistical methods to monitor and control a process. It allows manufacturing facilities to observe and manage behaviors, uncover bottlenecks, and discover solutions for production problems.
In challenging times, every little bit of continuous improvement adds to the bottom line. In 2020, we're seeing more and more F&B companies doubling down on data and leveraging SPC and OEE to boost margins and profits.
Originally developed by Bell Laboratories about a century ago, Statistical Process Control (SPC for short) is a quality control method which employs statistical methods that monitor and control a process to ensure it can meet specifications. We created a quick video for those in the food & beverage industry that want a high-level overview of SPC. In particular, it covers what SPC is, and how using specific metrics like Ppk, SPC, Cpk, Control Limits, Spec Limits, and Run Rules can help users understand and manage variability in a process.