How to Use KPIs to Detect EU FMD alert handling issues in Serialization & Track-and-Trace


Published on 18/06/2026

Addressing EU FMD Alert Handling Issues in Serialization and Track-and-Trace: A Practical Case Study

Efficient handling of alerts in serialization and track-and-trace systems is crucial for pharmaceutical manufacturers, especially with stringent requirements like the EU Falsified Medicines Directive (FMD). This case study presents a realistic scenario faced by a manufacturing facility struggling with alert management, leading to potential compliance risks. By following the structured approach outlined within this article, readers will gain insights into best practices for detecting, containing, investigating, and implementing corrective and preventive actions (CAPA) related to serialization issues.

Ultimately, this article aims to equip pharmaceutical professionals with practical strategies to enhance their operational resilience and ensure compliance with DSCSA and EU FMD regulations.

Symptoms/Signals on the Floor or in the Lab

During routine quality control checks, a pharmaceutical manufacturing facility encountered a spike in alerts related to serialization track-and-trace discrepancies. Operators reported issues with:

  • Aggregated serial numbers not reconciling with shipment data.
  • Frequent customer complaints regarding missing serial numbers on shipped products.
  • Increased incidents of rejected batches due to serialization mismatches in the ERP system.

The systems in place were functioning,

but the output was flagging alerts at an alarming rate. These symptoms indicated underlying issues in handling the serialization track-and-trace processes, necessitating immediate investigation.

Likely Causes (by category: Materials, Method, Machine, Man, Measurement, Environment)

While the symptoms indicated a significant problem with serialization alerts, thorough analysis pinpointed the potential causes as follows:

Category Likely Causes
Materials Incorrect or damaged print labels leading to readability issues on packaging.
Method Lack of standardized processes for serial number assignment and aggregation.
Machine Malfunction of serialization equipment (e.g., print & verify technology).
Man Human errors due to insufficient training on reconciliation processes.
Measurement Inconsistent data capture methods leading to discrepancies in the database.
Environment Working under high-pressure conditions to meet shipment deadlines, affecting thorough checks.

This breakdown facilitated a more focused investigation into specific areas, making it easier to understand where issues might be arising from and prioritize response efforts accordingly.

Immediate Containment Actions (first 60 minutes)

During the first hour after detection of the alert spike, the following containment actions were implemented:

  1. Isolation of Affected Batches: All batches flagged with discrepancies were immediately quarantined to prevent further distribution.
  2. Notification of Stakeholders: Key stakeholders were informed, including production managers, quality assurance (QA) teams, and supply chain personnel.
  3. Documentation of Alerts: Detailed logs of all alerts were compiled for ongoing investigations, facilitating clarity on which batches were affected.
  4. Review of Serialization Equipment: Initial checks on serialization equipment were conducted to ensure proper functionality and alignment.
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During this containment phase, the objective was not only to prevent further issues but also to gather initial data that could inform deeper investigation efforts.

Investigation Workflow (data to collect + how to interpret)

The next step involved a systematic investigation workflow. The investigation team established a structured method for data collection and analysis, which included:

  • Gathering production logs: Detailed logs of production runs were reviewed, looking for any anomalies during serial number printing and aggregation.
  • Analyzing alerts: A comprehensive review of all recorded alerts was conducted to determine commonalities or specific trends.
  • Operator interviews: Speaking to operators to gather insights into their experiences and identify any gaps in training or methods.
  • Reconciliation check: Performing a manual reconciliation of the serialized data with the ERP system to identify discrepancies.

Data interpretation focused on correlating equipment functionality with human operator performance, and understanding how these factors may intertwine to create issues within the system.

Root Cause Tools (5-Why, Fishbone, Fault Tree) and when to use which

To pinpoint the root causes of the serialization issues, the team employed several tools:

  • 5-Why Analysis: Used to drill down through the symptoms and identify the fundamental cause. For example: “Why did the serial numbers fail to reconcile?” (because they were incorrectly printed) “Why were they incorrectly printed?” (due to an equipment malfunction).
  • Fishbone Diagram: This was effective in visualizing potential causes across different categories (men, machines, methods, materials) and ensured no areas were overlooked.
  • Fault Tree Analysis: Employed for a more quantitative approach when seeking to evaluate the reliability of the serialization systems, particularly in assessing how various failures could lead to the observed bulk of alerts.

The choice of tool depended on the complexity of the suspected causes: simple root issues could be solved via 5-Why, while broader systemic issues warranted the use of Fishbone and Fault Tree analyses.

CAPA Strategy (correction, corrective action, preventive action)

The CAPA strategy was articulated as follows:

  • Correction: Immediate repairs were made to serialization equipment found to have a malfunction. Additionally, affected batches were properly logged and prepared for reprocessing.
  • Corrective Action: A thorough training program for operators was initiated to address gaps identified during interviews. Standard Operating Procedures (SOPs) surrounding serial number assignment and aggregation were updated for clarity.
  • Preventive Action: Regular maintenance schedules and system checks for serialization machinery were established to mitigate future equipment failure risks. Technology was instituted to monitor and trend alert frequency automatically.
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This structured approach ensured the problem was fully addressed, leaving no stone unturned in the quest for compliance and operational effectiveness.

Control Strategy & Monitoring (SPC/trending, sampling, alarms, verification)

To sustain improvements made through CAPA, the facility implemented a robust control strategy. This comprised:

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  • Statistical Process Control (SPC): Statistical methods were used to monitor serialization processes in real-time. Key Performance Indicators (KPIs) such as rejection rates and alert frequency were tracked effectively.
  • Alarm Systems: Automated alarms were set up to alert staff to deviations outside predefined thresholds for serialization outputs.
  • Regular Sampling: Periodic sampling of batches was established to verify serialization integrity and ensure compliance with the serialization track-and-trace process.
  • Ongoing Verification: The QA department instituted a routine cross-check process with ERP data to ensure continuous accurate serialization tracking.

This comprehensive control strategy was vital in ensuring that serialization practices remained aligned with both the DSCSA compliance and EU FMD regulations.

Validation / Re-qualification / Change Control impact (when needed)

As part of addressing the root causes and instituting corrective measures, the site’s validation and change control protocols were reviewed and potentially revised. This included:

  • Validation of New Equipment: Any new serialization equipment introduced into the process would undergo strict validation to confirm compliance with regulatory requirements and operational needs.
  • Requalification of Current Systems: Existing serialization processes needed re-qualification to confirm that new methods implemented through CAPA were effective.
  • Change Control Documentation: Updates to SOPs and training programs necessitated comprehensive change control documentation to maintain a clear audit trail and ensure that regulatory compliance was upheld.

The takeaway here is to ensure that any changes, whether through technological advances or procedural updates, are handled with diligence and thoroughness for compliance assurance.

Inspection Readiness: what evidence to show (records, logs, batch docs, deviations)

Finally, to prepare for future inspections by regulatory agencies such as the FDA and EMA, it was essential to have a comprehensive compilation of evidence that showcases compliance with serialization track-and-trace requirements:

  • Production Records: Entries reflecting production batches, including serialization details, need to be meticulously documented.
  • Alert Logs: Maintained logs that captured all serialization alerts need to be readily accessible.
  • Deviation Reports: Documentation of deviations and the associated CAPA actions taken should be clear and comprehensive.
  • Training Records: Evidence of personnel training related to serialization processes was crucial for inspection readiness.
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Having all of this documentation in verification-ready format is critical for passing inspections related to serialization compliance and maintaining product integrity.

FAQs

What is serialization track and trace?

Serialization track and trace refers to the systems used to uniquely identify individual products through serial numbers to support supply chain management and ensure compliance with regulatory standards.

Why is EU FMD important for pharma companies?

The EU FMD is critical as it aims to prevent the proliferation of counterfeit medications in the European pharmaceutical supply chain, ensuring patient safety and maintaining product integrity.

What should I do if discrepancies are found in serialization?

Immediate containment actions should be taken, including isolating affected products, validating the source of discrepancies, and implementing a robust investigation workflow to understand the causes.

How can I improve my serialization system?

Regular maintenance and effective training programs for operators can significantly improve serialization systems. Utilize SPC for monitoring, and ensure regular audits of processes and procedures.

What are some common causes of serialization issues?

Common causes include equipment malfunctions, human errors, integration issues with ERP systems, and lack of standardized procedures.

What role does CAPA play in handling serialization issues?

CAPA helps mitigate recurring problems by correcting immediate issues, investigating root causes, and implementing preventive measures to avoid future discrepancies.

How often should training be conducted for serialization systems?

Training should be recurrent, particularly following any changes or updates in procedures, equipment, or regulatory requirements, to ensure continuous compliance and staff proficiency.

Why is documentation important in serialization?

Documentation is crucial for providing an audit trail that demonstrates compliance with serialization requirements and aids in identifying and addressing issues when they arise.

What types of monitoring tools can I use for serialization?

Statistical Process Control (SPC) tools, alarm systems, and real-time data capture technologies are effective for monitoring serialization health.

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