上海交通大学学报

上海交通大学学报 ›› 2020, Vol. 54 ›› Issue (11): 1172-1181.doi: 10.16183/j.cnki.jsjtu.2020.99.016

• 学报（中文） • 上一篇    下一篇

基于区间数预测的产品功能退化性评估

赵志华1，李玉鹏1，褚学宁2   

  1. 1. 中国矿业大学 矿业工程学院， 江苏 徐州 221116； 2. 上海交通大学 机械工程学院， 上海 200240
  • 收稿日期:2019-05-15 出版日期:2020-12-04 发布日期:2020-12-04
  • 通讯作者: 李玉鹏，男，副教授，电话（Tel）:18751508458；E-mail: ypeng_li@163.com.
  • 作者简介:赵志华（1996-），男，江苏省南通市人，硕士生，主要研究方向为复杂产品系统演化设计.
  • 基金资助:
    国家自然科学基金（51505480, 51875345）资助项目

Product Functional Degradation Assessment Based on Interval Number Prediction

ZHAO Zhihua1,LI Yupeng1,CHU Xuening2   

  1. 1. School of Mines, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China; 2. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2019-05-15 Online:2020-12-04 Published:2020-12-04

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摘要： 顾客需求的动态性使产品演化成为必然，表现为现有产品功能与顾客需求期望之间的差异，称为产品功能退化.识别退化的功能是开展产品再设计和促进产品演化的前提，因此提出一种产品功能退化性评估方法.首先，基于质量功能展开将顾客需求转换为功能需求，利用粗糙集理论和卡诺指数计算功能需求重要度.其次，以产品工程特性取值范围的预测值表征顾客需求映射的期望设计范围.采用投影法计算现有产品工程特性取值范围和顾客需求期望设计范围间的差异度.基于功能需求重要度、工程特性间差异度和工程特性权重定义功能退化指数来评估产品功能退化性.最后，以某型号履带式起重机为研究对象进行案例分析.结果表明:应用所提方法得出的功能退化性评估结果与实际分析结果一致，因此所提方法具有一定有效性和实际可行性.

关键词: 产品演化； 功能退化； 工程特性； 区间数预测

Abstract: The dynamics of customer requirement makes product evolution inevitable. The essence of product evolution is the divergence between the function of present product and customer requirements expectation, which is defined as product functional degradation. The identification of degraded function is the precondition for product redesign and evolution. Therefore, a method for assessing the degradation of product function is proposed. First, customer requirements are converted into function requirements based on quality function deployment, and the importance rate of function requirement is calculated by using the rough set theory and Kano index. Then, the predicted value of the value range of future product engineering characteristics is used to represent the expected design range. The difference between the value range of engineering characteristics of existing products and the design range of customer expectation is calculated by using the projection method. The functional degradation index is obtained based on the importance of functional requirements, the difference degree between engineering characteristics, and the weight of engineering characteristics. Finally, a crawler crane is taken as the research object for case analysis. The results show that the functional degradation evaluation obtained by the proposed method is consistent with the actual analysis results, which indicates that the proposed method has a certain effectiveness and practical feasibility.

Key words: product evolution; functional degradation; engineering characteristic; interval number prediction

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