Optimal product positioning based on quality function deployment

Xinggang Luo; Jiafu Tang; Chun Kit Kwong

doi:10.1109/CCDC.2009.5192534

Optimal product positioning based on quality function deployment

Xinggang Luo, Jiafu Tang, Chun Kit Kwong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

A new method for optimal product positioning based on quality function deployment (QFD) is proposed. Perceptual mapping and house of quality (HoQ) are introduced to link the consumer perceptual space, product attribute space and product engineering space. The degree of overall customer satisfaction is introduced in the rule of consumer choice probability. An optimal product positioning model is established based on QFD. Genetic algorithms are applied to achieve the optimal value settings of a new product's engineering characteristics. Finally, an example of optimal positioning is given to illustrate the feasibility of the proposed model and algorithm.

Original language	English
Title of host publication	2009 Chinese Control and Decision Conference, CCDC 2009
Pages	4284-4287
Number of pages	4
DOIs	https://doi.org/10.1109/CCDC.2009.5192534
Publication status	Published - 17 Nov 2009
Event	2009 Chinese Control and Decision Conference, CCDC 2009 - Guilin, China Duration: 17 Jun 2009 → 19 Jun 2009

Conference

Conference	2009 Chinese Control and Decision Conference, CCDC 2009
Country/Territory	China
City	Guilin
Period	17/06/09 → 19/06/09

Keywords

Genetic algorithm
Product positioning
Quality function deployment

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Control and Systems Engineering
Electrical and Electronic Engineering

More information

10.1109/CCDC.2009.5192534

Cite this

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title = "Optimal product positioning based on quality function deployment",

abstract = "A new method for optimal product positioning based on quality function deployment (QFD) is proposed. Perceptual mapping and house of quality (HoQ) are introduced to link the consumer perceptual space, product attribute space and product engineering space. The degree of overall customer satisfaction is introduced in the rule of consumer choice probability. An optimal product positioning model is established based on QFD. Genetic algorithms are applied to achieve the optimal value settings of a new product's engineering characteristics. Finally, an example of optimal positioning is given to illustrate the feasibility of the proposed model and algorithm.",

keywords = "Genetic algorithm, Product positioning, Quality function deployment",

author = "Xinggang Luo and Jiafu Tang and Kwong, {Chun Kit}",

year = "2009",

month = nov,

day = "17",

doi = "10.1109/CCDC.2009.5192534",

language = "English",

isbn = "9781424427239",

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note = "2009 Chinese Control and Decision Conference, CCDC 2009 ; Conference date: 17-06-2009 Through 19-06-2009",

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TY - GEN

T1 - Optimal product positioning based on quality function deployment

AU - Luo, Xinggang

AU - Tang, Jiafu

AU - Kwong, Chun Kit

PY - 2009/11/17

Y1 - 2009/11/17

N2 - A new method for optimal product positioning based on quality function deployment (QFD) is proposed. Perceptual mapping and house of quality (HoQ) are introduced to link the consumer perceptual space, product attribute space and product engineering space. The degree of overall customer satisfaction is introduced in the rule of consumer choice probability. An optimal product positioning model is established based on QFD. Genetic algorithms are applied to achieve the optimal value settings of a new product's engineering characteristics. Finally, an example of optimal positioning is given to illustrate the feasibility of the proposed model and algorithm.

AB - A new method for optimal product positioning based on quality function deployment (QFD) is proposed. Perceptual mapping and house of quality (HoQ) are introduced to link the consumer perceptual space, product attribute space and product engineering space. The degree of overall customer satisfaction is introduced in the rule of consumer choice probability. An optimal product positioning model is established based on QFD. Genetic algorithms are applied to achieve the optimal value settings of a new product's engineering characteristics. Finally, an example of optimal positioning is given to illustrate the feasibility of the proposed model and algorithm.

KW - Genetic algorithm

KW - Product positioning

KW - Quality function deployment

UR - http://www.scopus.com/inward/record.url?scp=70449397073&partnerID=8YFLogxK

U2 - 10.1109/CCDC.2009.5192534

DO - 10.1109/CCDC.2009.5192534

M3 - Conference article published in proceeding or book

SN - 9781424427239

SP - 4284

EP - 4287

BT - 2009 Chinese Control and Decision Conference, CCDC 2009

T2 - 2009 Chinese Control and Decision Conference, CCDC 2009

Y2 - 17 June 2009 through 19 June 2009

ER -

Optimal product positioning based on quality function deployment

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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