Medical Device Manufacturing: Quality & Compliance
We built predictive maintenance and production analytics for a medical device manufacturer—cutting unplanned stoppages and raising yield.

KPIs We Tracked
- Non-Conformance Report (NCR) Rate
- Corrective and Preventive Action (CAPA) Effectiveness
- Batch/Lot Traceability Records
- Sterilization Validation Data (e.g., SAL)
- Equipment Calibration & Maintenance Logs
- Environmental Monitoring Data (Cleanroom)
- Regulatory Audit Findings
- Supplier Quality Metrics
Technologies Used
- QMS (Quality Management System) Integration
- MES (Manufacturing Execution System) Data
- LIMS (Laboratory Information Management System) Data
- Azure Fabric / Data Lakehouse
- Microsoft Power BI
- Electronic Batch Records (EBR) Systems
- Validation Documentation Tools
- Python for Data Validation Scripts
The Challenge
A medical device manufacturer operated under strict FDA and ISO 13485 expectations with quality and downtime pressure on every line. Their gaps:
- Compliance Burden: Proving adherence required meticulous records and process control that manual systems couldn't keep up with.
- Quality Escapes: Defects carried outsized risk—quality control had to be proactive, not reactive.
- Traceability Requirements: They needed full visibility into materials, processes, and personnel for each batch.
- Data Integration Complexity: QMS, MES, LIMS, and related systems stayed siloed, blocking line-level analysis.
- Audit Preparedness: Retrieving accurate evidence for regulators took too long and too much staff time.
What We Built
We delivered a validated analytics and monitoring stack:
- Integrated Data Platform: Consolidated QMS, MES, LIMS, EBR, and supplier feeds into Azure Fabric with controlled pipelines.
- Quality Monitoring Dashboards: Shipped Power BI views for NCR trends, CAPA status, and defect rates by process and component.
- Traceability Reporting: Built rapid batch/lot lookup covering materials, process steps, and quality checks.
- Compliance Analytics: Flagged process deviations against specs and regulatory requirements automatically.
- Predictive Maintenance & Quality: Used historical and machine data to anticipate equipment risk and process conditions tied to defects.
- Audit Support: Configured reports designed for fast retrieval during regulatory reviews.
Results
After go-live, the manufacturer delivered:
- Fewer unplanned stoppages through predictive maintenance on critical equipment.
- Higher yield from earlier detection of process drift and quality risk.
- Stronger compliance posture with faster audit retrieval and clearer deviation tracking.
- Tighter traceability for batch inquiries and recall readiness.
- Lower cost of poor quality via reduced scrap, rework, and emergency fire drills.
Raise yield and cut unplanned stoppages
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