Real-Time SPC

Inspection defect rates, reject counts, and anomaly scores stream to SPC dashboards in real time. Control charts display current Cpk and detect shifts before out-of-control conditions produce batch failures. Automated alerts notify shift supervisors when defect rates cross action limits.

MES Batch Record Integration

Inspection results link to work order and batch records in the MES, providing traceability from any rejected unit back to the production run, shift, operator, upstream equipment, and raw material lot. Batch records include inspection summary data required for lot release decisions.

CAPA Triggering

Operational QA workflows automatically trigger corrective and preventive action (CAPA) records when rejection rates exceed defined thresholds. CAPA records capture the inspection data that triggered the action, the production conditions at the time, and the root cause investigation findings — creating a complete quality event record.

Regulatory Audit Trails

21 CFR Part 11-compliant electronic records capture every inspection decision, configuration change, calibration event, and operator action with authenticated timestamps and electronic signatures — providing the complete audit trail required for FDA inspections and third-party GMP audits.

Define Quality Event Response Matrix

Map every inspection outcome to a specific response: what happens when a unit is rejected (reject mechanism activation, image archive, event log entry), what happens when the reject rate crosses a warning limit (supervisor alert, SPC control chart annotation), and what happens when it crosses an action limit (line hold, CAPA initiation, lot quarantine). Operational QA workflows without a complete response matrix produce data that no one acts on — the most common failure mode in quality system deployments.

Configure SPC Control Limits

Set SPC control limits based on historical process capability data, not on arbitrary percentages. Warning limits (1 or 2 sigma) trigger supervisor awareness; action limits (3 sigma) trigger line intervention. For new processes without historical data, use the first 20 production runs to establish baseline Cpk and set initial control limits, then review and tighten after 90 days of production data accumulation. Operational QA workflows with incorrect control limits produce either constant false alarms (too tight) or miss real process shifts (too loose).

Establish MES Integration and Data Schema

Define exactly which inspection data fields link to which MES data entities: work order number, batch/lot number, production line, shift, operator ID, and timestamp. Establish whether the inspection system pulls order information from the MES (active integration) or receives it via barcode scan (manual entry). Active MES integration reduces data entry errors and enables automatic batch record population — 2M Technology configures OPC-UA or REST API connections between inspection systems and MES platforms.

Design CAPA Triggering Logic

CAPA records should be triggered automatically by the inspection system when defect rates exceed defined thresholds — not initiated manually after the shift ends. Automatic CAPA triggering captures the production context (line conditions, upstream settings, material lot) at the exact moment the threshold was crossed, providing the investigation team with the most accurate root cause evidence. 2M Technology configures threshold-based CAPA triggers as part of all operational QA workflow implementations for regulated industries.

Implement Electronic Batch Records

For pharmaceutical, food, and medical device manufacturers, the inspection system must generate electronic batch records that can be included in the official product batch record for lot release. These records must satisfy 21 CFR Part 11 (FDA) or EU GMP Annex 11 (EU) requirements: authenticated timestamps, operator identification, system-generated entries that cannot be altered without leaving an audit trail, and electronic signature capability for supervisory review. 2M Technology configures all regulated-industry inspection systems to generate compliant electronic batch records as standard.

Build Continuous Improvement Analytics

Operational QA workflows generate historical inspection data that enables continuous improvement analysis beyond real-time SPC. Defect Pareto analysis identifies which defect types account for the most rejections. Correlation analysis identifies upstream process variables (temperatures, pressures, speeds, material lots) that predict elevated defect rates. Shift and operator analysis identifies training gaps. 2M Technology designs inspection data schemas with continuous improvement analytics in mind — not just compliance documentation.

Electronic records and signatures for pharmaceutical and medical device manufacturers. All inspection data records must be authenticated, timestamped, and audit-trailed.

FDA 21 CFR Part 11 Guidance →

Good Automated Manufacturing Practice guidance for computerized systems validation in pharmaceutical manufacturing. Defines IQ/OQ/PQ requirements for inspection systems.

ISPE GAMP 5 →

Quality management system standards requiring documented inspection processes, CAPA procedures, and measurement system analysis (MSA) for inspection equipment used in product conformance determination.

ISO 9001 →

Food safety frameworks requiring documented Critical Control Point monitoring, corrective action procedures, and verification activities for inspection systems used as food safety CCPs.

FDA FSMA →