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Final Test

Final  Test

Three Biggest Operational Challenges in Final Test


Missing or Inconsistent Test Records

Test results are often logged manually or stored in separate systems—leading to data gaps, limited analytics, and difficulties in tracking pass/fail trends or field returns.


Poor Integration Between Test Equipment and Process Traceability

Test benches operate in silos, with limited linkage between the tested unit’s build history, software version, and test program—making it hard to contextualize failures.


Limited Visibility into Yield, First-Pass Rate, and Rework Loops

There’s no real-time insight into how many units are passing or failing at final test, how often rework occurs, or what failure modes are recurring.


 


Key Personas Involved in Final Test


Tina, the Test Operator / Technician

Executes final testing on finished products, records results, flags failures, and may initiate rework or escalation procedures.


Tomas, the Test Engineer / Validation Engineer

Defines test procedures and limits, develops or maintains test programs, and ensures test system calibration and version control.


Quincy, the Quality Engineer

Monitors test data, investigates trends, and works with engineering to resolve recurring failures or improve test coverage.

Pete, Production Manager

Tracks daily throughput, first-pass yield, and rework loops—ensuring test capacity aligns with production flow.


 


Five High-Value Use Cases for MBrain and Mint


1. Use Case: Digital Test Data Capture and Centralized Reporting

Challenge: Test results are stored manually or across different tools, making reporting and compliance audits difficult.

How MBrain + Mint helps: MBrain captures test outcomes (pass/fail, limits, measurements, images) directly from test steps or via API integration with test equipment. Mint aggregates this data into centralized dashboards, reports, and compliance exports.

Benefit: Reliable, searchable test records with full visibility into historical and live results for every serial.


2. Use Case: Linking Test Results to Build and Process History

Challenge: Failures are hard to correlate with production process history, materials used, or assembly conditions.

How MBrain + Mint helps: MBrain ties test results to the full unit history, including component batches, operator, software version, and process steps. Mint enables cross-analysis and drill-down from failures to upstream contributors.

Benefit: Faster root cause analysis and ability to detect systemic vs. isolated issues across builds or variants.


3. Use Case: Automated Rework Routing for Failed Units

Challenge: Failed units are routed manually or inconsistently, causing confusion and lack of repair traceability.

How MBrain + Mint helps: MBrain automatically flags failed units and redirects them to defined repair flows, capturing all rework actions and validations. Mint links test failures and repair outcomes to track full test-repair-test loops.

Benefit: Standardized rework processes, reduced turnaround time, and complete repair traceability.


4. Use Case: Test Program and Equipment Version Control

Challenge: Operators may unknowingly use outdated or wrong test programs, risking false results.

How MBrain + Mint helps: MBrain validates that the correct test program version is used for each product and logs software/tool version with each test record. Mint ensures synchronization with PLM or test software repositories.

Benefit: Test consistency, reduced risk of undetected issues, and better compliance with release and certification requirements.


5. Use Case: Final Test Yield and First-Pass Rate Dashboards

Challenge: No clear, real-time view into daily yield, rework rate, or top failure reasons.

How MBrain + Mint helps: MBrain collects and categorizes all test results by station, product, operator, or time period. Mint displays first-pass yield, defect Pareto, and repair statistics on dashboards for QA and production teams.

Benefit: Improved quality monitoring, faster detection of test-related issues, and focused efforts on reducing rework.

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