Stop-Ship Decision Under Downtime Pressure
You are quality manager at a 140-person injection molder supplying a Tier-1 automotive customer. A 12,000-piece lot of a connector housing is complete. Final inspection of 80 pieces found 2 parts with 0.18 mm flash against a 0.10 mm limit. The drawing calls flash cosmetic, but the customer's supplier handbook classifies it as a major defect. The operations manager wants to ship because the truck leaves in six hours and a line-stoppage penalty of $8,000 per hour applies. Your internal rework cost is $1.40 per part. A prior similar escape cost $46,000 in sorting and chargebacks. The plant manager is on vacation and unreachable. The quality manual gives you authority to stop shipment, but the operations manager says you will be blamed for the downtime.
1. What immediate disposition do you choose, and how do you justify it quantitatively?
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Decision: hold the lot and initiate containment; do not release unverified product.
- Observed defect rate: 2/80 = 2.5%. A 95% binomial confidence interval is approximately 0.025 ± 1.96 × sqrt(0.025×0.975/80) = 0.025 ± 0.034, giving roughly 0% to 5.9%. The point estimate implies about 300 nonconforming parts in 12,000; the upper bound implies as many as ~700.
- Expected failure cost is not $1.40/part rework alone. One prior escape cost $46,000, plus potential $8,000/hour line-stoppage penalty and customer trust damage. Reworking all 12,000 parts at $1.40 is $16,800, which is less than one prior escape.
- The customer handbook classification makes this a major defect, so shipping known-suspect product is a risk decision, not a cosmetic judgment.
Immediate actions: quarantine the lot, notify the customer, start 100% inspection or automated vision sorting, and release only verified conforming pieces. Document the stop-ship decision and the data behind it. The quality manual authority exists precisely for this situation.
2. How should you present the decision to leadership so it is heard as a business decision rather than a quality-versus-operations conflict?
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Present one decision package with three parts: risk, cost, and options.
- Risk: 2.5% observed defect rate, 95% upper bound near 5.9%, major classification, and a prior $46,000 escape. State the exposure in parts and dollars, not adjectives.
- Cost comparison: shipping suspect product risks chargebacks, sorting, and the $8,000/hour penalty if the customer stops the line. Holding and sorting costs approximately $16,800 in rework plus inspection labor; that is bounded and known.
- Options: (a) ship all - rejected; (b) hold and sort - recommended; (c) ship only inspected and verified pieces if capacity allows before the truck departs.
Escalate to the plant manager's director or the on-call quality executive, since the plant manager is unreachable. Send the customer a containment notice. Record the decision in the quality record. This converts an emotional conflict into a documented risk-based business case and protects both operations and the customer.
3. What systemic leadership changes should follow this event?
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The event exposes a leadership-system weakness, not just a bad lot.
- Clarify stop-work authority: publish who can stop shipment, under what criteria, and how escalation works when the plant manager is unavailable.
- Management review: add shipment-risk and cost-of-quality metrics (escapes, chargebacks, sorting hours, premium freight) to the regular review agenda.
- Cross-functional material review: create a standing MRB/disposition team with operations, quality, engineering, and customer-facing representation.
- Quality objectives: set targets for defect escape rate and containment response time, and review them with the same rigor as output and downtime.
- Error-proofing: address the flash condition at the tool or process rather than relying on final inspection.
Leadership is demonstrated by making the safe decision repeatable through authority, metrics, and escalation design - not by winning a single argument.