Industry solutions

Electronics & High Tech

Time-to-market meets time-to-failure.

Electronics programmes decide their warranty cost at the BOM, months before the first field return arrives. RAMSynapse keeps the reliability case moving at hardware speed — OEM targets allocated down the design, predictions per SR-332 or FIDES tracking every BOM revision, and field returns flowing back to recalibrate the numbers the business planned on.

01

The BOM changes faster than the analysis

Weekly part substitutions and cost-downs invalidate predictions kept in spreadsheets — by design freeze the failure-rate estimate describes a board that no longer exists.

02

Every customer wants a different method

One OEM contracts SR-332, another asks for FIDES, a legacy programme still cites 217F — retyping the same BOM into three tools guarantees three different answers.

03

Field returns arrive after the decisions

Warranty data sits in a quality system nobody links back to the prediction — infant mortality and wear-out surface in the return rate long after the design could respond.

The regulatory landscape

The standards, and the modules that carry them.

Telcordia SR-332

Reliability Prediction Procedure for Electronic Equipment

The commercial-electronics prediction baseline: parts-count and part-stress methods, with provisions for blending in laboratory and field data as it accumulates.

PredictionRBD

FIDES

Reliability Methodology for Electronic Systems

The European methodology built on mission profiles and physics of failure — it rewards honest stress modelling and penalises overstress the datasheet never sees.

PredictionDerating

MIL-HDBK-217F

Reliability Prediction of Electronic Equipment

Officially frozen, contractually alive — industrial and legacy customers still specify 217F part-stress predictions, and the numbers must reconcile with newer methods.

PredictionDerating

IEC 61709

Reference Conditions for Failure Rates and Stress Models

The conversion discipline: reference conditions and stress models that let field failure rates observed under one operating profile be applied honestly to another.

PredictionFRACAS

JESD47

Stress-Test-Driven Qualification of Integrated Circuits

JEDEC component qualification — accelerated stress tests whose test-to-failure data deserves Weibull treatment, not a pass/fail checkbox.

WeibullFRACAS

A product-programme chain

One model, every analysis.

How an electronics programme runs the reliability case from OEM target to warranty data on one system model — the BOM analysed once, every method reading from it.

  1. Take the OEM target apartAllocationThe customer's MTBF or annualised return-rate target broken down the product structure — every board and module owner sees the budget their design must meet.
  2. Predict per SR-332 or FIDESPredictionOne BOM, the method each customer contracts — predictions compare live against the allocation, and a part substitution shows its reliability cost the day it lands.
  3. Hold the derating lineDeratingElectrical and thermal stress on every part checked against the derating policy — the violations that quietly drive early field failures surface before layout freeze.
  4. DFMEA with test coverage in viewFMECAFailure modes inherit the predicted rates; testability analysis shows which of them the DFT strategy will actually catch — and which ship straight to the customer.
  5. Let the returns recalibrate the caseFRACASField returns flow through FRACAS; Weibull analysis separates infant mortality from wear-out, and observed rates re-age predictions and warranty reserves honestly.

Make the return rate a number you saw coming.

See how an electronics programme runs allocation, prediction, derating, DFMEA and field-return analytics on one shared system model — on your own infrastructure.