Same failure across one product
May indicate a product design, process or component issue.
Failure Analysis
Identify repeat failures across products, stations, batches and time periods so engineering and quality teams can act faster.
Teams find recurring failures by comparing test data across products, variants, stations, fixtures, batches, suppliers, time periods and retest history. Connected manufacturing test data makes repeated patterns easier to identify than isolated reports or spreadsheets.
Recurring failures are often visible only after someone manually compares reports, spreadsheets, logs or support cases.
A single failure may look isolated. Across hundreds or thousands of units, it may reveal a product issue, station problem, fixture fault, process change or supplier defect.
Recurring failures may be hidden in:
To find recurring failures, compare test data by:
May indicate a product design, process or component issue.
May indicate a fixture, calibration, connection or local station problem.
May indicate limit instability or unclear acceptance criteria.
May indicate supplier, material or process variation.
May indicate marginal behaviour, fixture contact issues or test repeatability problems.
Arc helps teams structure test data so recurring failures can be grouped, searched and analysed across products, stations, batches and time periods.
This gives engineering and quality teams a faster route from repeated symptoms to likely investigation paths.
A recurring failure is a repeated test failure pattern that appears across multiple units, stations, products or time periods.
They are difficult to detect when test data is spread across different files, systems and reports.
Test step, failure code, measured value, station, product, timestamp, batch and retest history are all useful.
Yes. Station-level comparisons can reveal fixture, calibration or local process issues.
Bring an example of your current test data workflow and we’ll map where results, failures, limits, traceability and quality evidence are getting lost.
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