基于ANP的QFD模型及其在多目标优化设计中的应用

发布时间：2018-05-01 07:10

本文选题：QFD + ANP　；参考：《合肥工业大学》2015年硕士论文

【摘要】：作为一种先进的基于需求驱动的产品设计方法,质量功能配置(QFD)具有减少产品研制时间、减少产品设计更改、提高设计可靠性和降低企业管理成本等优点。在质量功能配置需求变换过程中,确定顾客需求重要度和相应的工程技术特征优先度是两大关键环节。此外,解决质量功能配置过程的模糊性问题,以便在需求变换中进行方案设计和优化分析,也是决定产品设计质量的关键内容。本文试图在前人研究基础上针对质量功能配置的两大关键环节和一个关键内容提出相应的改进的QFD模型。围绕两大关键环节和一个关键内容,本文构建了基于网络分析法的QFD模型,该模型以模糊层次分析法为基础,以三角模糊数作为标度,通过两两对比的方式来确定顾客需求重要度和工程技术特征优先度。运用这种模型可以综合考虑顾客需求内部相关关系、工程技术特征和顾客需求间相关关系以及工程技术特征内部相关关系,进而可以得出最终工程技术特征重要度。此外,采用Kano模型对顾客需求重要度进行修正,提出了模糊C均值聚类的方法将顾客需求软划分为三类,提高了需求类型划分的科学性和合理性。在以上分析基础上,将工程技术特征重要度作为多目标优化设计分目标函数重要度权系数,建立了一套基于顾客需求的评价函数建立方法。以双摇臂悬浮式高塔抱杆为例,系统论证了综合模型的实施方法,得到了高塔抱杆工程技术特征优先度排序。针对其中的主要工程技术特征,建立了高塔抱杆的多目标优化设计数学模型,并采用遗传算法求解优化模型,得到了较为理想的结果,证明本文研究内容在解决实际工程问题中的有效性。
[Abstract]:As an advanced demand-driven product design method, quality function configuration (QFDs) has the advantages of reducing product development time, reducing product design changes, improving design reliability and reducing enterprise management costs. In the process of changing the requirement of quality function configuration, determining the importance degree of customer demand and the corresponding priority of engineering technology feature are two key links. In addition, to solve the fuzzy problem in the process of quality function configuration, so as to carry out scheme design and optimization analysis in the process of requirement transformation, is also the key content of determining the quality of product design. On the basis of previous studies, this paper attempts to propose a corresponding improved QFD model for two key links and a key content of quality function configuration. Around two key links and one key content, this paper constructs a QFD model based on network analysis. The model is based on the fuzzy analytic hierarchy process (AHP) and takes the triangular fuzzy number as the scale. The importance of customer demand and the priority of engineering characteristics are determined by comparison. Using this model, we can comprehensively consider the internal correlation relationship between customer demand, the correlation relationship between engineering technology feature and customer demand, and the internal correlation relationship between engineering technology feature and engineering technology feature, and then we can get the final engineering technical feature importance degree. In addition, the Kano model is used to modify the importance of customer demand, and a fuzzy C-means clustering method is proposed to divide customer demand into three categories, which improves the scientific and reasonable classification of customer demand types. On the basis of the above analysis, the importance of engineering technical features is taken as the weight coefficient of the sub-objective function of multi-objective optimization design, and a set of evaluation functions based on customer demand is established. Taking the double rocker arm suspension tower pole as an example, the implementation method of the comprehensive model is systematically demonstrated, and the ranking of the technical characteristics of the tower lock rod engineering is obtained. According to the main engineering technical characteristics, the mathematical model of multi-objective optimization design of tower pole is established, and the genetic algorithm is used to solve the optimization model, and the results are satisfactory. It is proved that this paper is effective in solving practical engineering problems.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：O221.6

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