Please use this identifier to cite or link to this item: https://doi.org/10.1080/03052150500448059
DC FieldValue
dc.titleQFD optimization using linear physical programming
dc.contributor.authorLai, X.
dc.contributor.authorXie, M.
dc.contributor.authorTan, K.-C.
dc.date.accessioned2014-06-17T07:02:07Z
dc.date.available2014-06-17T07:02:07Z
dc.date.issued2006-07-01
dc.identifier.citationLai, X., Xie, M., Tan, K.-C. (2006-07-01). QFD optimization using linear physical programming. Engineering Optimization 38 (5) : 593-607. ScholarBank@NUS Repository. https://doi.org/10.1080/03052150500448059
dc.identifier.issn0305215X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63272
dc.description.abstractA new approach to quality function deployment (QFD) optimization is presented. The approach uses the linear physical programming (LPP) technique to maximize overall customer satisfaction in product design. QFD is a customer-focused product design method which translates customer requirements into product engineering characteristics. Because market competition is multidimensional, companies must maximize overall customer satisfaction by optimizing the design of their products. At the same time, all constraints (e.g. product development time, development cost, manufacturing cost, human resource in design and production, etc.) must be taken into consideration. LPP avoids the need to specify an importance weight for each objective in advance. This is an effective way of obtaining optimal results. Following a brief introduction to LPP in QFD, the proposed approach is described. A numerical example is given to illustrate its application and a sensitivity analysis is carried out. Using LPP in QFD optimization provides a new direction for optimizing the product design process.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/03052150500448059
dc.sourceScopus
dc.subjectLinear physical programming
dc.subjectMulti-objective optimization
dc.subjectNew product design
dc.subjectOptimization
dc.subjectQuality function deployment
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1080/03052150500448059
dc.description.sourcetitleEngineering Optimization
dc.description.volume38
dc.description.issue5
dc.description.page593-607
dc.description.codenEGOPA
dc.identifier.isiut000238561700006
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