7.1 Statistical Process Control (SPC): Cp & Cpk
ManufacturingSPC processes naturally vary. The engineering question is not "did this part pass?" but "is the processdifference capablebetween inspecting quality in (reactive) and building quality in (proactive). Inspection tells you that you just made a bad part; SPC tells you that you are about to make a bad part. It is the practice of consistentlylistening producingto passingthe parts?"heartbeat" of the machine. If you ignore the statistical trends, you are driving blind, waiting for the crash (scrap) to tell you to stop.
Cp vs. Cpk: The Physics of Capability
We use two metrics to determine if a process can meet the customer's requirements. Do not mix them up.
Cp (Process Potential): The Width
- Definition:
RelatesCan the car fit in the garage if we drive perfectly? It compares the width of thespecification limitstolerance (Tolerance)Spec Limits) to thewidthnatural variation of the processvariation(6 sigma)6σ).It answers: "Could we fit inside the limits if we were perfectly centered?" Formula:The Logic:- If Cp
=<(USL1.0-→LSL)Then/the6sigmacar is wider than the garage door. No amount of operator skill will fix this. Action: Invest in better tooling or loosen the tolerance. - If Cp ≥ 1.33 → Then the process is potentially capable.
- If Cp
Cpk (Process Reality)Capability): The Centering
- Definition:
MeasuresIs theactualcarcapabilityactuallybyparkedaccountingin the center of the garage? It accounts forhowthecenteredshift of the mean. - The Logic:
- If Cpk < 1.0 → Then parts of the distribution are hitting the wall (out of spec). You are producing scrap.
- If Cpk = Cp → Then the process is
relativeperfectly centered.
Pro-Tip: A high Cp and a low Cpk means your machine is precise (tight grouping) but inaccurate (aimed at the wrong target). This is the easiest problem to fix: just adjust the offset.
Control Limits vs. Specification Limits
This is the most common error on the shop floor. Operators often think the Control Limit is the "Fail" line. It is not.
- Specification Limits (USL/LSL): Defined by the Customer/Print. These are the "Cliffs." If you cross them, the part is dead.
- Control Limits (UCL/LCL): Defined by the Process Data (typically ±3σ from the mean). These are the "Guardrails."
The Rule of Law:
- If a point exceeds the Control Limit (UCL/LCL) → Then the process has changed. Stop and investigate. The part is likely still good (if inside USL/LSL), but the process is out of control.
- If you adjust the machine because a part is "close" to the
limits.SpecItLimitconsidersbut still inside the Control Limit → Then you are introducing "worstTampering"case"(over-correction),tailwhichofactually increases variation.
Reaction Rules (The "Nelson" Logic)
When do you stop the distribution.line? Do not rely on "gut feeling." Use defined statistical triggers.
Stop & Fix If:
Formula:The Outlier:CpkOne=pointminfalls outside the Control Limits (±3σ).- The
1.33 Standard:Trend:A Cpk of1.33(4 Sigma) is the minimum industry standard for a "stable" process. A Cpk of1.67(5 Sigma) is required for safety-critical automotive/medical features. Cpk < 1.0:The process is incapable. Defects are statistically guaranteed. Inspection must be 100%.One pointbeyond the 3 sigma Control Limit.Two out of threeSeven consecutive pointsbeyondare moving in the2samesigma zonedirection (Warning)Up or Down). Tool wear is occurring.- The Shift: Seven consecutive points are on
onethe same side of thecenterlineMean.(ProcessTheShift).process center has shifted.
Western Electric Rules (Stop Triggers)
Operators must stop the process if any of the following statistical anomalies occur on a Control Chart:
Final Checklist
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| ≥ 1.33 |
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| Stop on 1 point > |
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Calculation | Recalculate | Stale control limits |