When actual product reliability data is not available, standards based reliability prediction may be used to evaluate design feasibility, compare design alternatives, identify potential failure areas, trade-off system design factors and track reliability improvement. ReliaSoft's Lambda Predict software tool supports failure rate predictions and mean time between failure predictions (MTBF predictions) based on the major reliability prediction standards, including MIL-HDBK-217 predictions (MIL-217 predictions), Bellcore predictions, Telcordia predictions, and NSWC Mechanical predictions. The software provides a complete array of calculated results for your analyses (failure rate predictions, MTBF predictions, etc.) along with graphical charts and customizable reports. Lambda Predict offers a full set of supporting tools, including a reliability allocation utility, derating analysis and the ability to transfer and manage your data via flexible import/export utilities. The software also provides exclusive access to the PartLibraries.org Web portal, which allows users to search and import parts data from MIL-M-38510, EPRD-97 or NPRD-95 (free to all users) as well as more than 300,000 specific commercial electronic components (yearly subscription required).
- Navy / Marine Corps
- Air Force
Integrated Product Support Elements Addressed
This tool was identified as part of a product support analytical tools database provided solely to assist defense acquisition workforce professionals to identify best value product support solutions which optimize system readiness and life cycle cost. Neither the Department of Defense or the Defense Acquisition University provide any warranty of these tools whatsoever, whether express, implied, or statutory, including, but not limited to, any warranty of merchantability or fitness for a particular purpose or any warranty that the contents of the item will be error-free. This analytical tools database should under no circumstances be considered as being all-encompassing, and is in no-wise meant to endorse the capabilities or products of any particular individual, company, or organization.