Two Points After Lunch
After a fill-volume improvement, an Xbar-R chart (n = 5, sampled every 30 minutes) runs on a bottling line; target 500 mL, limits 495/505. Over three days, two Xbar points fall above the UCL - both in the 20 minutes immediately after the scheduled lunch break. The R chart stays in control throughout. Each time, the operator dialed the filler head down and re-checked. Cpk for the period is 1.35. The control plan says operators check every two hours and the supervisor signs the chart weekly. The shift supervisor has taped over the alarm light because it "kept going off," and no one has recorded the filler-head settings.
1. Is the process in control, and what is the chart actually telling you? Prescribe the correct response at the moment of the signal.
Read the worked answer
In control? No. Two Xbar points beyond the UCL are a signal by any rule set, regardless of how few points are affected.
Diagnosis of the pattern
- Xbar out, R in control → a shift in location, not an increase in dispersion. The fill mean moved; the within-subgroup spread did not. That narrows the cause to something acting on the level: a setpoint change, a product or lot change, temperature/CO₂ after an idle period, a valve or pump restart characteristic, or a sensor zero shift.
- Both signals in the same 20-minute post-lunch window is the strongest clue. Random common cause would scatter across the day. A recurring, position-specific event is a predictable input change - exactly what an idle-restart startup sequence produces.
- Do not be reassured by Cpk = 1.35. Capability indices computed on an unstable process describe a mixture, not a process. Report the chart first; capability only after stability is demonstrated.
Correct response at the signal
- Contain: segregate product from the affected subgroups back to the last in-control point and evaluate against specification.
- Do not adjust the filler head. Record the current setpoint, then investigate the input side: was the line idle? Was there a product or syrup lot change at the break? What does the first subgroup after restart look like on previous days?
- Verify with data: pull the post-lunch subgroups for the last 20 days and compare their means with the mid-morning subgroups. If the post-lunch mean is systematically high, the cause is in the restart, not in chance.
- Only then change something, one variable at a time, and confirm with a short-run check.
2. Evaluate the operator's response and the supervisor's action. What failure in the control system do they reveal?
Read the worked answer
The operator's response: adjusting on every signal without diagnosis is tampering.
- Two out-of-control points on an Xbar chart represent a real level shift; adjusting is not inherently wrong. But dialing the head down and re-checking is an unblinded, unrecorded adjustment loop: with no setpoint log, no one can tell whether the next subgroup is high because of the environment or because the previous adjustment was too large.
- Adjust-and-check cycles typically produce more variation - the classic funnel-rule experiment. Watch for a subsequent pattern of alternating points or increased R-chart variation, which would be the adjustment itself creating signals.
- The absence of a documented setpoint makes the process non-reproducible: every shift inherits whatever the last operator dialed in.
The supervisor's action: taping over the alarm destroys the control.
- The alarm is a detection device. Disabling it converts a detectable special cause into an undetected one and converts the control chart into decoration.
- "It kept going off" is itself evidence: either the control limits are wrong (computed from an unstable period, or inherited from a different product), the sampling is mismatched to the process, or a real recurring problem was never fixed. All three are fixable; none are fixed by tape.
- This is a governance failure, not an operator failure: if the alarm fires and no one has authority or time to respond, the reaction plan was never real.
Root cause of both behaviours: a control plan that specified what to measure but not who responds, how fast, and with what authority.
3. Rewrite the control plan's reaction and audit sections, and describe how you would verify the fix holds after 30 days.
Read the worked answer
Reaction plan (per signal type)
| Signal | First responder, within | Action | Escalate if |
|---|---|---|---|
| 1 point beyond Xbar limit (mean shift) | Operator, 15 min | Stop adjusting; record setpoint; contain product since last good subgroup; check idle/lot/temperature inputs; notify line lead | Cause not identified in 30 min or a second signal within 24 h |
| Trend / 7 points one side / 2 of 3 beyond 2σ | Operator, end of shift | Log the pattern; check for drift in setpoint or material; line lead reviews next shift | Pattern persists 2 shifts |
| R chart out of control | Line lead, immediately | Check for mixed product, measurement method, or intermittent mechanical fault | Any repeat |
| Alarm disabled or bypassed by anyone | - | Prohibited. Immediate escalation to the process owner | Always |
Other required plan changes
- Sampling frequency: 30-minute sampling with weekly sign-off is mismatched - review the chart daily at shift handover, weekly at the process-owner level.
- Filler-head setpoint log with time, value, and who changed it. Non-negotiable.
- Startup standard work for the post-lunch restart, with a first-subgroup check before releasing product.
- Control limits recalculated from a verified stable period and frozen; documented in the plan with the date and the basis.
- Named owner per control item and a revision date; the plan is a live document.
Verification after 30 days
- Chart review: 30 days of data, no recurrence of the post-lunch mean shift, R chart in control, limits unchanged.
- Process audit by someone outside the area: is the alarm functional, is the setpoint log complete for every shift, does the operator on nights describe the reaction plan correctly when asked?
- Outcome metrics: fill-volume defect rate and giveaway (overfill cost) - a control plan that holds the mean but costs 0.5 mL of giveaway per bottle is not a success.
- Capability re-check on stable data only, then publish Cpk/Ppk alongside the chart, never alone.
- Feedback loop: any signal without a documented response in the log is a finding against the plan, not the operator.