| As an advanced customer-oriented design method, Quality Function Development (QFD) has many advantages, such as shorter product development time, less correctness of product design, higher reliability of product and less company’s administration cost, etc. Determining the importance of Customer Needs (CNs) and prioritizing the Engineering Characteristics (ECs) are two crucial steps for the first stage of QFD. In addition, having a great deal of fuzziness is also a feature of QFD process. Amid at these two crucial steps and one feature, this paper try to proposal an improved QFD model on the basis of previous studies.The presented ANP-based QFD model based on fuzzy Analytic Hierarchy Process (AHP) which choose triangular fuzzy number as language scale, and the importance of CNs&ECs was determined through pairwise comparison. To rating the ECs, the model consider the influence of three relationships which are the inner dependence of CNs, the impact of CNs on each of the ECs and the inner dependence of ECs. Kano’s model was integrated to adjust the importance of CNs, and use Fuzzy C-Means Algorithm (FCM) to distinguish CNs softly into three types of categories, it makes the division more scientific. A new method was proposed to determine the weight function based on CNs by taking the importance of ECs as the weighting coefficients of each sub-objective function.Taking the Double rocker arm suspend Holding pole as an example, integrated methodology was systematically elaborated in this paper, and the priority of ECs was got then. Amid at two ECs of the holding pole, A multi-objective design model was established and obtained a satisfactory result by adopt Genetic Algorithm (GA). It has some practical guidance for engineering. |
