Poisson Defect Monitoring
The c-chart models rare discrete nonconformities where opportunities for defects are very large, such as surface blemishes on an automotive panel, circuit board solder voids, or fabric flaws per 100 meters.
Monitor multiple defects per item on circuit boards, textiles, paint surfaces, or weld seams.
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When should a C-Chart be used in Statistical Process Control?
Use a c-chart when counting the total number of nonconformities (defects) across a constant sample inspection area or unit (Poisson model). Limits are: UCL = c̄ + 3√c̄, LCL = Max(0, c̄ - 3√c̄).
The c-chart models rare discrete nonconformities where opportunities for defects are very large, such as surface blemishes on an automotive panel, circuit board solder voids, or fabric flaws per 100 meters.
Standardize defect intensity rates across differing product sizes and inspection sample quantities.
Statistical Process Control (SPC)Track defect rates across varying production lot sizes while accounting for overdispersion.
Problem Solving & ImprovementIsolate the vital few quality defects or downtime causes from the trivial many.