QFD optimization using linear physical programming

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

24 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)593-607
Journal / PublicationEngineering Optimization
Volume38
Issue number5
Publication statusPublished - 1 Jul 2006
Externally publishedYes

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.

Research Area(s)

  • Linear physical programming, Multi-objective optimization, New product design, Optimization, Quality function deployment

Citation Format(s)

QFD optimization using linear physical programming. / Lai, Xin; Xie, Min; Tan, Kay-Chuan.
In: Engineering Optimization, Vol. 38, No. 5, 01.07.2006, p. 593-607.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review