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Baseline Reliability Prediction at the Early Product Design Stage

Standards based reliability prediction is an important tool for predicting reliability for systems and devices. It uses globally recognized military or commercial standards at the early design stage to evaluate whether the design meets certain reliability goals. As part of the Synthesis Platform, Lambda Predict can share the prediction reliability models with other applications such as BlockSim for further analysis. In this article we will use an example to show how the analysis result in Lambda Predict can be used by BlockSim.


Read the Latest Reliability News

Winner of the 2014 RAMS Stan Oftshun Award!

Congratulations to ReliaSoft’s Huairui Guo, Athanasios Gerokostopoulos, Ferenc Szidarovszky and Pengying Niu for receiving the Stan Oftshun Award at RAMS held on January 27 – 30, 2014 in Colorado Springs. The award was given for their outstanding paper "Field Repairable System Modeling with Missing Failure Information." You can read this and other publications by ReliaSoft's award-winning R&D team members by visiting


ARS Europe 2014 Proceedings

If you were unable to attend this year's Applied Reliability Symposium in Paris, France, you may be pleased to learn that the proceedings are available for purchase online at the ReliaSoft Online Store. Physical shipments include a CD-ROM.


Congratulations to the 2014 ARS North America Excellent Presentation Award Winners!

We are pleased to announce the recipients of the Excellent Presentation Awards from the Applied Reliability Symposium – North America in Indianapolis held at the beginning of this month. The award winners were selected based on votes cast by Symposium attendees.

  • 1st Place (Gold) - Georgios Sarakakis from Tesla Motors for his presentation on Better Field Reliability with Big Data Analytics
  • 2nd Place (Silver) - Vasiliy V. Krivtsov from Ford Motor Company for his presentation on Survival Regression: From Biostats to Engineering
  • 3rd Place (Bronze) - Jack Olivieri from MITRE Corporation for his presentation on Modeling Software Reliability Growth
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