Robust design: An overview
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Gyung-Jin | - |
dc.contributor.author | Lee, Tae-Hee | - |
dc.contributor.author | Lee, Kwon Hee | - |
dc.contributor.author | Hwang, Kwang-Hyeon | - |
dc.date.accessioned | 2021-06-23T22:39:25Z | - |
dc.date.available | 2021-06-23T22:39:25Z | - |
dc.date.issued | 2006-01 | - |
dc.identifier.issn | 0001-1452 | - |
dc.identifier.issn | 1533-385X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/45378 | - |
dc.description.abstract | Robust design has been developed with the expectation that an insensitive design can be obtained. That is, a product designed by robust design should be insensitive to external noises or tolerances. An insensitive design has more probability to obtain a target value, although there are uncertain noises. Theories of robust design have been developed by adopting the theories of other fields. Based on the theories, robust design can be classified into three methods: 1) the Taguchi method, 2) robust optimization, and 3) robust design with the axiomatic approach. Each method is reviewed and investigated. The methods are examined from a theoretical viewpoint and are discussed from an application viewpoint. The advantages and drawbacks of each method are discussed, and future directions for development are proposed. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | American Institute of Aeronautics and Astronautics | - |
dc.title | Robust design: An overview | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.2514/1.13639 | - |
dc.identifier.scopusid | 2-s2.0-31344479597 | - |
dc.identifier.wosid | 000234497000019 | - |
dc.identifier.bibliographicCitation | AIAA Journal, v.44, no.1, pp 181 - 191 | - |
dc.citation.title | AIAA Journal | - |
dc.citation.volume | 44 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 181 | - |
dc.citation.endPage | 191 | - |
dc.type.docType | Review | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Aerospace | - |
dc.subject.keywordPlus | Axiomatic approach | - |
dc.subject.keywordPlus | Robust design | - |
dc.subject.keywordPlus | Robust optimization | - |
dc.subject.keywordPlus | Taguchi method | - |
dc.subject.keywordPlus | Aviation | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordPlus | Probability | - |
dc.subject.keywordPlus | Robustness (control systems) | - |
dc.subject.keywordPlus | Space flight | - |
dc.subject.keywordPlus | Product design | - |
dc.identifier.url | https://arc.aiaa.org/doi/10.2514/1.13639 | - |
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