DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, HS | ko |
dc.contributor.author | Kwak, Byung Man | ko |
dc.date.accessioned | 2013-03-06T06:00:00Z | - |
dc.date.available | 2013-03-06T06:00:00Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2002-03 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.40, no.4, pp.931 - 944 | - |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.uri | http://hdl.handle.net/10203/86040 | - |
dc.description.abstract | The experimental design technique in the literature, which has been limited only to normally distributed random variables, is extended to handle non-normal cases. It is easy to implement and provides good results for the moments of system response functions compared with other traditional methods. It is based on the three-level Taguchi method, and optimum levels and weights to handle non-normal distributions are derived. A systematic procedure for tolerance analysis is then proposed by using the Pearson system. Numerical results for non-linear examples are shown to be very accurate in comparison with those from Monte Carlo simulations and the first-order reliability method. | - |
dc.language | English | - |
dc.publisher | TAYLOR FRANCIS LTD | - |
dc.subject | DESIGN | - |
dc.title | Efficient statistical tolerance analysis for general distributions using three-point information | - |
dc.type | Article | - |
dc.identifier.wosid | 000174295400009 | - |
dc.identifier.scopusid | 2-s2.0-0037051278 | - |
dc.type.rims | ART | - |
dc.citation.volume | 40 | - |
dc.citation.issue | 4 | - |
dc.citation.beginningpage | 931 | - |
dc.citation.endingpage | 944 | - |
dc.citation.publicationname | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | - |
dc.contributor.localauthor | Kwak, Byung Man | - |
dc.contributor.nonIdAuthor | Seo, HS | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | DESIGN | - |
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