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Quanterion Solutions 217Plus

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Last Updated: 03/24/2017

According to the Quanterion Solutions website, "The 217Plus™ reliability prediction methodology was developed by Quanterion Solutions staff as the latest approach being used by government and industry. Initiated under the DoD’s Reliability Analysis Center (RAC) and Reliability Information Analysis Center (RIAC) contracts, the original 217Plus models have all been updated by Quanterion to the current 217Plus™:2015 version based on new data. 

The 217Plus™ methodology, now updated to 217Plus™:2015, is intended to be a replacement for the MIL-HDBK-217 “Reliability Prediction of Electronic Equipment”.

The failure rate models of 217Plus™ are more than updated MIL-HDBK-217 models; they are restructured to be more accurate by enhanced approaches to accounting for environments, for quality, and for cycling effects on reliability. The methodology also allows users to combine its models with their own experience data in a Bayesian type approach.

The 217Plus™ reliability prediction methodology was developed by Quanterion Solutions staff as the latest approach being used by government and industry. Initiated under the DoD’s Reliability Analysis Center (RAC) and Reliability Information Analysis Center (RIAC) contracts, the original 217Plus models have all been updated by Quanterion to the current 217Plus™:2015 version based on new data.

The 217Plus™ methodology, now updated to 217Plus™:2015, is intended to be a replacement for the MIL-HDBK-217 “Reliability Prediction of Electronic Equipment”.

The failure rate models of 217Plus™ are more than updated MIL-HDBK-217 models; they are restructured to be more accurate by enhanced approaches to accounting for environments, for quality, and for cycling effects on reliability. The methodology also allows users to combine its models with their own experience data in a Bayesian type approach."

Processes Supported

Departments Associated

  • Army
  • Navy / Marine Corps
  • Air Force
  • Agencies

Integrated Product Support Elements Addressed

Disclaimer

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.

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