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Integration of Probabilistic Methods into the Design Process
Published May 8, 2012 by SAE International in United States
Downloadable datasets availableAnnotation ability available
This document discusses a recommended new approach to integrate probabilistic methodologies with design practices, procedures, and software codes currently being used. In addition to complementing design methods currently in use, this new procedure will permit the designer to quantify the amount of conservatism that exists for a particular design due to the large amount of additional information which is provided to the designer. This additional information will allow the designer to make better decisions when faced with tradeoffs between cost, reliability, performance, and weight. Although the methodologies described herein can be used heavily in the design process, their applicability is much more encompassing. They can be used from product concept to customer delivery.
AIR5080 has been reaffirmed to comply with the SAE five-year review policy.
Data Sets - Support Documents
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|TABLE 1||The Life Drivers and Their Levels|
|TABLE 2||The Distributions Used in the Example Problem|
|TABLE 3A||Fractional Factorial Design with Center Point|
|[Unnamed Dataset 8]||TABLE 3B - Six Additional Runs Based D-Optimal Design|
|TABLE 4||Random Variable Definitions|
|TABLE 5||Sensitivities of Individual Failures and System Failure|
The G-11PM Committee is a part of SAE's Reliability, Maintainability, Supportability and Logistics (RMSL)G-11 Division. The PM Committee has over 100 participants and is one of the fastest growing committees in the RMSL G-11 Division.The Committee has the mission and vision to "enable/facilitate rapid deployment of probabilistic technology to enhance the competitiveness of our industries by better, faster, greener, smarter, affordable, and reliable product development."