2013 Fiscal Year Final Research Report
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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| Keywords | 品質管理 / 統計工学 |
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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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Research Products
(4 results)
