I am a Manufacturing Process Engineer (MPE)

Personally, Workingbear think this process capability improvement flowchart is quite well-organized, so I cleaned it up a bit and decided to share it with everyone.

Please note: Before implementing Statistical Process Control (SPC), the process conditions must first be quantified. In other words, you need to find a way to turn the factors that affect product quality into measurable or countable data.

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Process capability refers to the ability of a production process to consistently produce products that meet quality requirements under stable and fixed production conditions. To understand process capability, there are at least two key aspects we need to consider:

A manufacturing process’s capability is influenced by many factors, starting from product design, including materials, machines, equipment, methods, operator skills, inspection equipment, inspection methods, and the skill of the inspectors. Any changes in these factors can more or less affect process capability.

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Workingbear has already spent a good amount of time explaining what Cp (Precision) and Ck (Accuracy, sometimes called Ca) mean, and what each represents. We’ve also learned that using Cp or Ck alone can give an incomplete picture when it comes to quality control. So now, Workingbear is going to introduce the combined process capability index — Cpk — which is widely used today as a standard measure in statistical process control (SPC).

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What Is Ck or Ca?

Ck, which some people now refer to as Ca (Accuracy), represents how close a process output is to the target value. Using a target-shooting example: if someone fires six bullets and all land near the bullseye, the Ck value is good (meaning low), because the average result is close to the center of the specification — a direct hit.

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