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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.

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Today, and with Frontlink.

Today

Paper QC sheets, Excel trend charts (if any), and manual final release processes with no link to production events.

With FrontlinkScheduled in-process checkpoints with SPC-lite alerting
  1. Define checkpoint schedules per product family, triggered by time interval, quantity produced (from counters), or batch events.
  2. Operators enter measurements (numeric values or pass/fail) on the tablet, linked automatically to the current batch, order, and timestamp.
  3. SPC-lite rules detect problems early: out-of-spec alerts, trend warnings (e.g., 3 consecutively increasing points), and control limit violations.
  4. Every check result is tied to its production context (batch, line, operator, and time) so root-cause analysis has full traceability.
  5. Quality dashboard shows trends by product, line, and shift with drill-down to individual check results.
Time to value
1–2 weeks
Complexity
Medium
Works with machine counters
Partial

The problem

  1. Who feels it most

    QA teams, operators, and production managers who can't see quality trends until it's too late.

  2. 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.

  3. How common is this?

    Widespread. Paper-based frontline processes remain the norm in most SME manufacturing. Quality costs can be significant relative to operations.

Business impact

  1. Scrap and rework from undetected drift
  2. Quality holds and release delays from missing data
  3. Cost of poor quality is typically substantial but invisible without structured data

Solved by

  1. Quality and batch recordQuality checks appear as a checklist on the tablet, with the norm next to each one. The batch record builds itself from what was actually made, and release and certificate follow without searching.

Frequently asked questions.

Who typically feels this problem?

QA teams, operators, and production managers who can't see quality trends until it's too late.

Why doesn't an ERP or WMS system solve this?

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.

How does Frontlink solve this?

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.

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.

Book a call