Statistical Process Control (SPC) is a quality management tool that uses statistical methods to monitor and control production processes. Its primary purpose is to ensure processes operate under controlled conditions and reduce variation to improve product quality.
Upper Control Limit (UCL): Predetermined upper limit in control charts, typically mean plus 3 standard deviations.
Lower Control Limit (LCL): Predetermined lower limit in control charts, typically mean minus 3 standard deviations.
In Statistical Process Control (SPC), Cp, Cpk, Pp, and Ppk are four key process capability indices used to evaluate manufacturing process performance.
Cp & Pp: Measure process capability without considering centering. Higher values indicate better capability.
Cpk & Ppk: Measure process performance considering both centering and variation. Higher values indicate better performance.
Generally, Cpk is larger than Ppk because:
Cpk reflects short-term capability using controlled subgroup data
Ppk reflects long-term performance using overall process data that includes more variation sources
Shift vs Variation
Shift: Difference between process mean and target value. Variation: Dispersion of process outputs around the mean (measured by σ).
Cp (Process Capability Index) - Short Term
Measures whether process variation fits within specification limits:
Criteria:
Cp > 1.33: Good capability
Cp = 1.33: Minimum acceptable
Cp < 1.33: Requires improvement
Cpk (Process Capability Index) - Short Term
Considers both variation and centering:
Criteria:
Cpk > 1.33: Good performance
Cpk = 1.33: Minimum acceptable
Cpk < 1.33: Requires improvement
Pp (Process Performance Index) - Long Term
Similar to Cp but uses overall process data:
Criteria:
Pp > 1.33: Good performance
Pp = 1.33: Minimum acceptable
Pp < 1.33: Requires improvement
Ppk (Process Performance Index) - Long Term
Considers both variation and centering for overall process:
Criteria:
Ppk > 1.33: Good performance
Ppk = 1.33: Minimum acceptable
Ppk < 1.33: Requires improvement
Control Charts
Common Types:
X-Bar & R Chart:
X-Bar: Monitors sample means
R Chart: Monitors sample ranges
X-Bar & S Chart:
X-Bar: Monitors sample means
S Chart: Monitors sample standard deviations
I-MR Chart:
Individual Chart: Tracks single measurements
Moving Range Chart: Tracks differences between consecutive points
P Chart: Monitors proportion defective
NP Chart: Tracks number of defectives in constant sample sizes
C Chart: Counts number of defects per unit
U Chart: Tracks defects per unit with variable sample sizes
Six Sigma Quality improvement methodology aiming for 3.4 defects per million opportunities (DPMO). Key metrics:
Sigma Level: Process capability measurement
DPMO: Defects Per Million Opportunities
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