Nonconformances and corrective actions fall through the cracks
Issues are spotted but corrective actions aren't tracked. The same problems come back quarter after quarter.
Today, and with Frontlink.
Email threads, paper NCR forms, and Excel CAPA logs that nobody updates after the initial entry.
- Create a deviation directly from any production event, a downtime incident, a QC failure, a scrap spike, or an operator observation.
- Assign an owner, due date, and task checklist. The deviation carries full context: batch, order, machine, timestamp, and related quality data.
- Simple root-cause tagging (5-Why lite) structures the investigation without heavyweight QMS bureaucracy.
- Effectiveness check prompts trigger automatically after a configurable number of days or batches to verify the fix actually worked.
- Deviation dashboard tracks open items, overdue actions, and recurrence rates across the plant.
- Time to value
- 1–2 weeks
- Complexity
- Medium
- Works with machine counters
- Partial
The problem
- Who feels it most
QA teams, supervisors, and plant managers who see the same audit findings repeatedly.
- Why ERP / WMS doesn't solve it
ERP quality workflows are complex and expensive. SMEs don't maintain them. There's no link between shopfloor events and corrective action tracking.
- How common is this?
Common in paper-driven environments. Quality-related costs are material enough that recurring issues represent significant hidden expense.
Business impact
- Repeat defects from unclosed corrective actions
- Hours spent searching history during audits and customer complaints
- Escalating customer complaints when root causes aren't addressed
Frequently asked questions.
Who typically feels this problem?
QA teams, supervisors, and plant managers who see the same audit findings repeatedly.
Why doesn't an ERP or WMS system solve this?
ERP quality workflows are complex and expensive. SMEs don't maintain them. There's no link between shopfloor events and corrective action tracking.
How does Frontlink solve this?
Raise deviations from any event, track corrective actions to closure. Create a deviation directly from any production event, a downtime incident, a QC failure, a scrap spike, or an operator observation. Assign an owner, due date, and task checklist. The deviation carries full context: batch, order, machine, timestamp, and related quality data. Simple root-cause tagging (5-Why lite) structures the investigation without heavyweight QMS bureaucracy. Effectiveness check prompts trigger automatically after a configurable number of days or batches to verify the fix actually worked. Deviation dashboard tracks open items, overdue actions, and recurrence rates across the plant.
How quickly does it deliver value?
Typical time to value: 1–2 weeks. Implementation complexity: Medium.
Which process takes you the most time?
Book a 30-minute call. We look at your own examples together.
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