Please use this identifier to cite or link to this item: https://doi.org/10.1108/02656719910274308
DC FieldValue
dc.titleMultiple response robust design and yield maximization
dc.contributor.authorJayaram, J.S.R.
dc.contributor.authorIbrahim, Y.
dc.date.accessioned2014-10-07T10:24:08Z
dc.date.available2014-10-07T10:24:08Z
dc.date.issued1999
dc.identifier.citationJayaram, J.S.R.,Ibrahim, Y. (1999). Multiple response robust design and yield maximization. International Journal of Quality and Reliability Management 16 (9) : 826-837. ScholarBank@NUS Repository. <a href="https://doi.org/10.1108/02656719910274308" target="_blank">https://doi.org/10.1108/02656719910274308</a>
dc.identifier.issn0265671X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/87089
dc.description.abstractA design is robust if the design values for selected performance characteristics (i.e. responses) are chosen to be invariant to the variations the product will experience. For a design to be acceptable, it must conform to the design specifications. However, due to the existence of variation, this conformance is satisfied probabilistically, i.e. yield. Optimal manufacturing yield design is defined as a design that maximises the probability of satisfying the design specifications. Methods to achieve robust design for a single response and to achieve yield maximization are well established. A new method of achieving high yield and robust design for multiple responses is presented using the Cp and Cpk capability indices used in on-line quality control techniques. The proposed method is applied to a single response problem and two multiple response problems. The results showed that the proposed method is capable of producing good manufacturing yield and robust design simultaneously. © MCB University Press, 0256-671X.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1108/02656719910274308
dc.sourceScopus
dc.subjectDesign
dc.subjectManufacturing
dc.subjectOptimization
dc.subjectReliability
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1108/02656719910274308
dc.description.sourcetitleInternational Journal of Quality and Reliability Management
dc.description.volume16
dc.description.issue9
dc.description.page826-837
dc.identifier.isiutNOT_IN_WOS
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