Quality checks are on paper and defect data is scattered
Checks happen, but the data lives in binders and spreadsheets. Issues repeat because there's no structured trend analysis.
The problem
Who feels it most
QA teams, operators, and production managers who can't see quality trends until it's too late.
How common is this?
Widespread. Paper-based frontline processes remain the norm in most SME manufacturing. Quality costs can be significant relative to operations.
Typical workaround today
Paper QC sheets, Excel trend charts (if any), and manual final release processes with no link to production events.
Why ERP / WMS doesn't solve it
ERP quality modules are heavyweight and often require consulting to configure. They're not designed for quick in-process prompts tied to machine and batch context.
Business impact
Scrap and rework from undetected drift
Quality holds and release delays from missing data
Cost of poor quality is typically substantial but invisible without structured data
Scheduled in-process checkpoints with SPC-lite alerting
Define checkpoint schedules per product family — triggered by time interval, quantity produced (from counters), or batch events.
Operators enter measurements (numeric values or pass/fail) on the tablet, linked automatically to the current batch, order, and timestamp.
SPC-lite rules detect problems early: out-of-spec alerts, trend warnings (e.g., 3 consecutively increasing points), and control limit violations.
Every check result is tied to its production context — batch, line, operator, and time — so root-cause analysis has full traceability.
Quality dashboard shows trends by product, line, and shift with drill-down to individual check results.
Ready to solve this?
Book a demo and we'll show you exactly how Frontlink addresses this problem in your environment.