Engineering Data & Quality
EOL - Engineering Analytics Platform for Railway Manufacturing
An application for reviewing production test and burn-in data for railway braking systems.
Illustrative system view
Context
At Wabtec, engineering and quality teams needed a better way to review production test and burn-in data for railway braking systems.
Challenge
The data was spread across CSV and Excel files. Checking results by hand made it harder to spot trends and investigate unusual readings.
Contribution
We worked on the interface, data processing, dashboards, reports, user access and desktop and mobile versions.
- CSV and Excel ingestion
- data validation
- SPC and quality monitoring
- dashboards and trend analysis
- root-cause investigation
- reporting
- authentication and sessions
- session management
- admin approval
- role-based access
- desktop and mobile delivery
- UX/UI design
Solution
The application brings the files together, checks the data and presents it in dashboards and reports for engineers to review.
Data ingestion
Implemented workflows for importing CSV and Excel data and preparing it for validation, processing, dashboarding, and reporting.
Validation and processing
Structured the data pipeline so engineering evidence could be checked, transformed, and reused consistently across analysis views.
SPC and quality monitoring
Built support for statistical process control, quality dashboards, trend analysis, and repeatable investigation of anomalous behavior.
Reporting and access control
Developed reporting, authentication, session management, administrative approval, and role-based access around practical engineering workflows.
Desktop and mobile delivery
Supported web delivery, desktop distribution, Flutter mobile access, and UX/UI design so different users could reach the same technical data appropriately.
How the system connects
- Test and burn-in files
- Validation
- Processing
- SPC and investigation
- Reporting and predictive support
Engineering considerations
- data validation before visualization
- role-aware access to engineering evidence
- traceability from source files to reports
- qualitative outcomes until quantitative results are verified
Outcomes
- Brought manufacturing test data into a clearer engineering workflow.
- Supported repeatable reporting, quality review, and anomaly investigation.
- Created a maintainable base for dashboards, access control, and future analysis work.
Attribution & confidentiality
This case study is based on our previous professional experience and does not imply customer endorsement or an ongoing commercial relationship.
Private data, screenshots and internal project details are not shown.
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