Quality management in Dynamics 365 SCM

By Emil Björk · Microsoft business apps consultant, Gothenburg

How F&O's quality management module handles inspection plans, quality orders, nonconformance, and the link from quality data to operational decisions.

Reviewed May 20263 min read · 711 wordsPublished
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For regulated industries (food, pharma, medical devices) and quality-sensitive operations (automotive, electronics), F&O's Quality Management module captures the inspection and nonconformance workflows that determine whether incoming, in-process, and outbound material can be used. Done right, it ties directly into operational decisions — block, release, rework, scrap.

Core entities.

  • Test — a specific measurement (dimensional, chemical, visual).
  • Test group — a collection of tests applied together.
  • Quality association — defines when a quality order is auto-created (e.g. on receipt of items in this group from these vendors).
  • Quality order — the actual inspection record, with results per test, disposition, and follow-up actions.
  • Nonconformance — a captured defect with root cause analysis fields and corrective action.

Quality associations

The auto-creation rules:

  • Event — Purchase receipt, Production reporting as finished, Inventory transaction, Sales picking, etc.
  • Reference — item group, item, vendor, customer, or specific products.
  • Sampling plan — full inspection, percentage, fixed quantity.
  • Test group — which tests to run.

Quality association rules are the engine that translates "we always inspect first lot from any new vendor" into automatic quality orders without operator decision.

Sampling plans.

  • 100% — every unit.
  • Quantity per lot — fixed sample size.
  • Percentage — proportional sample.
  • Acceptance sampling (AQL) — statistical sampling per ISO 2859 or military standards.

The right plan depends on test cost and consequence of escape. Visual checks may be 100%; destructive testing is small samples.

The inspection workflow.

  1. Quality association fires; quality order is created.
  2. The inspected quantity is segregated to a quarantine warehouse or quarantine bin until disposition.
  3. Quality engineer runs the tests, records results per test line.
  4. The system evaluates pass/fail per test against limits.
  5. Overall disposition is set: Pass, Fail, Conditional.
  6. Disposition drives next steps: release to stock, return to vendor, rework, scrap.

Quarantine integration

Items being inspected are typically segregated to a quarantine warehouse or quarantine bin. Until the quality order is dispositioned, the material is not available for normal operations. The integration is automatic with warehouse-managed receipts: receipt → quarantine, quality order pass → move to normal inventory.

Nonconformance

A failed quality result, or a problem discovered downstream, generates a nonconformance:

  • Problem type — internal, customer, vendor.
  • Diagnosis — what was found.
  • Cause — root cause (5 Whys, fishbone analysis fields).
  • Operations — corrective actions taken (rework, scrap, return, accept with deviation).
  • Costs — labour and material costs of the response.

Nonconformance records aggregate into supplier scorecards (vendor X has Y nonconformances/quarter) and trend analysis.

Corrective and preventive actions (CAPA)

For regulated industries, nonconformance leads to formal CAPA — actions designed to prevent recurrence. F&O has CAPA fields but for FDA-regulated environments, dedicated CAPA software is often layered on top.

Certificate of analysis (CoA)

Quality results can be printed as a Certificate of Analysis sent to customers with shipments — proof of test results. Configure the report to pull from quality order data, sign off by quality manager, attach to shipping.

Production integration

In manufacturing:

  • In-process inspections — quality orders triggered at specific operations.
  • Final inspection — before reporting production complete.
  • Statistical process control — measurements tracked over time; trends visible.

Vendor integration

Quality data informs vendor management:

  • Supplier scorecard — pass rate, defect rate, response time.
  • Vendor approval status — restricted, approved, preferred.
  • Inspection level — first-article inspection for new items, reduced inspection for proven items.

Common pitfalls.

  • Quality associations too narrow. Missing items not covered → inspection skipped.
  • Tests poorly defined. Vague test descriptions; results inconsistent across inspectors.
  • No quarantine discipline. Items released to stock before disposition; operational risk.
  • Nonconformance not analysed. Records accumulate, no trend analysis, no CAPA — quality module becomes paperwork.
  • CoA out of sync with results. A CoA prepared at receipt sent later doesn't reflect any retests — process must enforce final result on CoA.

Operational rhythm

Quality data is most valuable when reviewed regularly: weekly nonconformance trends, monthly vendor scorecard reviews, quarterly process capability analysis. The module is a tool for those rhythms — without the rhythm, it's data collection without action.

When it's not enough

Pharma GxP environments often need eQMS systems (Veeva, MasterControl, Tracewise) layered on top for validated audit trails, electronic signatures, and regulatory submission. F&O integrates with these via APIs. The same pattern — F&O handling operational quality data with a specialised system layered on top for the industry's own compliance regime — shows up in Dynamics 365 for food and beverage (batch traceability and food-safety audits) and Dynamics 365 for aerospace (AS9100 quality standards and configuration management).

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