Research Project
Grant-in-Aid for Young Scientists (B)
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.
All 2014 2013 2012
All Journal Article (5 results) (of which Peer Reviewed: 2 results) Presentation (1 results) Book (2 results)
Comm. Statist. Theory Methods
Volume: (accepted)
品質
Volume: Vol.43, No.3 Pages: 102-109
110009625093
Volume: Vol.43, No.2 Pages: 85-93
110009603987
Volume: 43 Pages: 102-109
Volume: 43 Pages: 85-93
