Statistical Process Control (SPC) in PCB Cleaning

Statistical process control (SPC) applies statistical tools to monitor and control the cleaning process. SPC detects shifts before they produce out-of-spec products.

Understanding statistical process control

SPC uses control charts, capability indices (Cp, Cpk), and trend analysis to evaluate process stability and capability. Establish control limits based on historical data and validated performance.

SPC implementation steps

• collect relevant metrics: residue levels, conductivity, temperature, cycle time

• chart data in real time with control limits

• investigate assignable causes for out-of-control points

• implement corrective actions and verify effectiveness

ZESTRON supports SPC implementation with sampling plans, data interpretation, and guidance on quality metrics.