Please use this identifier to cite or link to this item:
https://doi.org/10.1080/03052150500448059
DC Field | Value | |
---|---|---|
dc.title | QFD optimization using linear physical programming | |
dc.contributor.author | Lai, X. | |
dc.contributor.author | Xie, M. | |
dc.contributor.author | Tan, K.-C. | |
dc.date.accessioned | 2014-06-17T07:02:07Z | |
dc.date.available | 2014-06-17T07:02:07Z | |
dc.date.issued | 2006-07-01 | |
dc.identifier.citation | Lai, 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.issn | 0305215X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/63272 | |
dc.description.abstract | A 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.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/03052150500448059 | |
dc.source | Scopus | |
dc.subject | Linear physical programming | |
dc.subject | Multi-objective optimization | |
dc.subject | New product design | |
dc.subject | Optimization | |
dc.subject | Quality function deployment | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.doi | 10.1080/03052150500448059 | |
dc.description.sourcetitle | Engineering Optimization | |
dc.description.volume | 38 | |
dc.description.issue | 5 | |
dc.description.page | 593-607 | |
dc.description.coden | EGOPA | |
dc.identifier.isiut | 000238561700006 | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.