Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20028
Title: A methodology for optimal product positioning with engineering constraints consideration
Authors: Kwong, CK 
Luo, XG
Tang, JF
Keywords: Customer satisfaction
Genetic algorithms
Optimization
Product positioning
Issue Date: 2011
Publisher: Elsevier
Source: International journal of production economics, 2011, v. 132, no. 1, p. 93-100 How to cite?
Journal: International journal of production economics 
Abstract: Due to the complex mapping relationship between product attributes and engineering characteristics, as well as the correlations between engineering characteristics and the engineering constraints on a product, a new product following a probabilistic rule of multidimensional scaling may not be in an optimal position in product engineering space. In this paper, a new methodology for optimal product positioning by considering engineering constraints is proposed. In the proposed methodology, perceptual mapping and house of quality are introduced to link the consumer perceptual space, and product engineering space. The degree of overall customer satisfaction is considered in the rule of consumer choice probability. Based on this, an optimal product positioning model can be established. Genetic algorithms are introduced to solve the problem of the optimization model due to its non-linear characteristics. By applying genetic algorithms, the optimal value settings of a new products engineering characteristics can be obtained. An example of optimal positioning and determination of value settings of engineering characteristics of packing machines is used to illustrate the proposed methodology.
URI: http://hdl.handle.net/10397/20028
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2011.03.014
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
0
Citations as of Aug 21, 2017

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
0
Citations as of Aug 20, 2017

Page view(s)

31
Last Week
0
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.