Optimal product positioning based on quality function deployment
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 products engineering characteristics. Finally, an example of optimal positioning is given to illustrate the feasibility of the proposed model and algorithm.
product positioning quality function deployment genetic algorithm
Xinggang Luo Jiafu Tang C.K. Kwong
School of Information, Key Laboratory of Integrated Automation of Process Industry of MOE, Northeast Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, C
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4284-4287
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）