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 |
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Title of host publication | 2009 Chinese Control and Decision Conference, CCDC 2009 |
Pages | 4284-4287 |
Number of pages | 4 |
DOIs | |
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 |
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Country | 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