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• 智能设计与数字化设计 • 上一篇    下一篇

融合用户满意度的用户需求综合重要性研究

  

  1. (1. 贵州大学现代制造技术教育部重点实验室，贵州 贵阳 550025； 
    2. 贵州大学机械工程学院，贵州 贵阳 550025)
  • 出版日期:2019-12-31 发布日期:2020-01-20
  • 基金资助:
    贵州省科技厅基础研究计划项目(黔科合LH字[2017]7232)；贵州省教育厅青年科技人才成长项目(黔教合KY字[2018]112、YJSCXJH[2018]088)

Comprehensive Importance of Integrating User Satisfaction with User Demand

  1. (1. Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang Guizhou 550025, China;  
    2. School of Mechanical Engineering, Guizhou University, Guiyang Guizhou 550025, China)
  • Online:2019-12-31 Published:2020-01-20

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摘要： 针对用户需求重要性确定过程中的主观性和模糊性，以及未考虑到用户需求偏好 程度对用户需求重要性影响的问题。提出一种集成模糊理论与 Kano 模型、逼近理想解排序法 和熵权法的用户需求综合重要性确定方法。首先，通过市场调研和设计调研获得用户的原始需 求信息，然后对其进行模糊聚类，得到新的用户需求信息。其次，利用模糊 Kano 模型对新的 用户需求进行了问卷调研，得到用户需求的属性分类以及 Si和 DSi系数。再次，利用逼近理想 解排序法(TOPSIS)确定用户需求因素与用户满意度的匹配度，得到定量的用户需求满意度值。 最后，采用熵权法计算用户需求的初级重要度，将用户需求满意度值与初级重要度权重相乘， 得到用户需求的综合重要度函数。以某企业新型民用摩擦焊机产品设计开发为例，验证了该方 法的可行性和有效性，并对高端数控机床产品设计开发具有一定的指导和借鉴作用。

关键词: 工业设计, 模糊 Kano 模型, TOPSIS, 熵权法, 用户需求综合重要性

Abstract:  In consideration of the subjectivity and fuzziness involved in the process of determining the importance of user demand and the problem of the neglect of the effect of the degree of user demand preference on the importance of user demand, a method of determining the comprehensive importance of user demands is proposed based on fuzzy theory, Kano model, approximate ideal solution ranking method and entropy weight method. First of all, market research and design research were made to obtain the original user demand information, and then fuzzy clustering was applied to obtain the new information. Secondly, we used fuzzy Kano model to investigate the new user requirements, acquiring the attribute classification of them as well as their Si and DSi coefficients. Thirdly, TOPSIS (technique for order preference by similarity to ideal solution) method was used to determine the matching degree of user demand factors and user satisfaction, and the quantitative value of user demand satisfaction was obtained. Finally, the entropy weight method was used to calculate the primary importance of user demand, and the user demand satisfaction value was multiplied by the primary importance weight to get the comprehensive importance function of user demand. Taking the design and development of a new type of civil friction welding machine as an example, we verified the feasibility and effectiveness of this method, providing implications for the design and development of high-end CNC machine tools.

Key words:  industrial design, fuzzy Kano model, TOPSIS, entropy weight method, comprehensive importance of user demand