Statistical Modeling Approach to Robust Parameter Design
| Project/Area Number |
24710177
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | The Institute of Statistical Mathematics |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 品質管理 / 統計工学 / 国際情報交換 |
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| Research Abstract |
Robust parameter design aims to make the signal-response relationship insensitive to noise variation by enabling the choice of appropriate levels for the control factors. This article presents a statistical modeling methodology and an exploratory design approach to dynamic parameter design. The response is modeled as a second order of both the control and noise factors. A statistical formulation is presented for a practical optimization of Taguchi's dynamic signal-to-ratio analysis. The modeling methodology is illustrated using an experiment involving foam rubber in tires designed for snowy conditions.
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Report
(3 results)
Research Products
(8 results)
