Quality Decline After a Scheduling Change
Northline Packaging employs 85 production workers across two shifts. Eight weeks after installing new scheduling software, the plant's defect rate has risen from 2.4% to 5.1%, overtime has reached 14%, and voluntary turnover among workers with less than 90 days on the job is 22%. On-time delivery is 91%, and a major customer contract pays a penalty if it falls below 90%. The plant manager proposes adding two end-of-line inspectors and a final audit before shipment. A budget freeze rules out new hires, so the inspectors would be reassigned from cross-training. Supervisors report that daily priorities change by mid-shift and that new employees are often placed on whichever line is short-staffed. Weekly 30-minute team meetings are the main communication forum.
1. What is the most likely system cause of the quality decline, and why is adding end-of-line inspectors a weak primary response? Use the scenario data.
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The pattern is more consistent with an unstable process than with a sudden worker motivation problem. Defects rose after a scheduling change, overtime is 14%, and 22% of new workers leave within 90 days. Supervisors say priorities change mid-shift and new employees are placed wherever a line is short. That combination increases setup changes, handoffs, and variation, which are common defect drivers.
End-of-line inspection can contain escapes, but it does not remove the cause. It adds cost, creates a bottleneck before shipment, and pulls people out of cross-training, weakening the response further. Before committing, the plant manager should stratify defects by line, shift, tenure, and time since the schedule change. If defects concentrate on lines with high schedule churn or new workers, the inspection proposal is treating a symptom.
2. Recommend a 30-day action plan with no new hires and at least four measurable indicators.
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A workable plan would stabilize the process before adding permanent inspection:
- Freeze mid-shift reassignments except for safety or machine failure; publish a three-day schedule and use one cross-trained floating worker for absences.
- Hold a 10-minute daily huddle at shift start with quality, overtime, and delivery numbers on a visible board.
- Assign a buddy and signed skill check for every new employee before solo work on critical stations.
- Use a temporary end-of-line audit only on the highest-risk line for two weeks, then remove it if defect data improve.
- Review results weekly with supervisors and adjust.
Metrics should include defects per 1,000 units by line and shift, schedule adherence, overtime percentage, 90-day turnover, on-time delivery, and cross-training coverage. The plant should also track whether the same defect types recur after corrective actions.
3. How should the plant manager communicate the change to supervisors and workers, and what would signal the plan is failing?
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The manager should frame the change around the customer penalty and the shared goal of stable work, not blame individuals. Supervisors should see the defect and schedule data first and be asked which assignments create the most churn. The manager should explain that the temporary audit is containment, while the real fix is stable scheduling, standard work, and support for new hires. A pilot on one line can reduce fear and produce quick feedback.
Failure signals include no defect reduction after two weeks, schedule adherence below 80%, overtime rising instead of falling, new-worker turnover increasing, or the audit repeatedly catching the same defect types. If those occur, the manager should not simply add more inspectors; the next step is to examine whether the scheduling software rules, staffing model, or training sign-off process is the actual constraint.