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Abstract Details
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Activity Number:
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376
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Type:
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Invited
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Quality and Productivity Section
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| Abstract - #303943 |
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Title:
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Improving Aircraft Engine Design: The Design for Variation (DFV) Process
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Author(s):
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Grant L. Reinman*+
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Companies:
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Pratt & Whitney
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Address:
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Statistics and Design for Variation, East Hartford, CT, 06108,
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Keywords:
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engineering ;
design ;
uncertainty ;
sensitivity ;
model calibration
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Abstract:
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Statistical Engineering is the study of how to best utilize and integrate statistical methods with other engineering disciplines and information technology to solve high level, complex, multidisciplinary problems. The Design For Variation (DFV) process developed at Pratt & Whitney and described in this talk is shown to possess all attributes of a Statistical Engineering application. Design For Variation, a Strategic Initiative at Pratt & Whitney, represents a large scale improvement of engineering design and analysis processes in order to characterize, quantify, and reduce variability, uncertainty, and risk, requiring the efforts of engineers, statis- ticians, and information technology specialists. This presentation also presents examples of the DFV process. The new, "DFV-enabled" processes enable engineers to actively manage variability, uncertainty, and risk directly via design, materials, and process changes.
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Authors who are presenting talks have a * after their name.
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