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Manufacturing data & quality traceability

A data-integration and quality-management solution for pharmaceutical manufacturing, supporting Continued Process Verification and quality investigations.

My role
Solution architect, Flame-Ware Solutions
Delivery stage
Production
Customer
Anonymised
THE CUSTOMER PROBLEM

What needed to change.

A pharmaceutical manufacturing customer needed consolidated process data to support Continued Process Verification, consistent quality reporting and traceability during quality investigations.

MY RESPONSIBILITY

What I owned.

Defined the architecture and SQL Server data models, implemented integration interfaces and led automated collection, validation, reporting and audit trails. Worked with manufacturing, QA and technical stakeholders on data integrity and traceability.

CONSTRAINTS & PRIORITIES

What shaped the approach.

  • Manufacturing, QA and technical stakeholders needed a common understanding of data mapping and reporting requirements.
  • GxP-related requirements had to be translated into data integrity, traceability, role-based access, change control and validation documentation.
  • Data collection, validation and reporting needed to support process trends, deviations and investigation workflows.
ARCHITECTURE & DELIVERY

How the work fitted together.

  1. 01

    Collect and integrate process data

    Integration interfaces and automated collection consolidated manufacturing process information.

  2. 02

    Model and validate the data

    SQL Server data models, data validation and audit trails supported integrity and traceability.

  3. 03

    Support quality investigations

    Reporting, process trend analysis and investigation workflows made the consolidated data usable by manufacturing and QA stakeholders.

TECHNICAL JUDGEMENT

Decisions and responsibilities.

Design with manufacturing and QA

I worked with operational and technical stakeholders to translate quality requirements into the architecture and implementation.

Include traceability in the data design

Automated validation, audit trails, access controls and change control were part of the solution's data-integrity approach.

Carry the integration into production

My scope included technical implementation, development leadership, integration testing and production deployment.

THE RESULT

What was delivered.

Improved manufacturing-data visibility, standardised quality reporting and reduced manual consolidation.

SQL ServerData integrationQuality reportingAudit trails