中国机械工程

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多质量特性产品参数设计灰靶模型

李亚平1; 刘思峰2,3; 方志耕2; 陈洪转2; 徐兰4   

  1. 1.南京林业大学,南京,210037
    2.南京航空航天大学,南京,210016
    3.英国De Montfort大学,莱斯特,LE1 9BH
    4. 江苏科技大学,镇江,212003
  • 出版日期:2016-04-25 发布日期:2016-04-26
  • 基金资助:
    欧盟第七研究框架计划玛丽·居里国际人才引进计划Fellow项目(FP7-PIIF-GA-2013-629051);国家社会科学基金资助重点项目(12AZD102);国家自然科学基金资助项目(61301108,71403109,71372080);国家级教学团队基金资助项目(10td128);教育部人文社科青年基金资助项目(14YJC630151);中央高校基本科研业务费专项资金资助项目(NP2014105,NP2015208);江苏省高等学校哲学社会科学重点研究基地资助项目(2014JDXM015) 

Grey Target Model for Parameter Design of Multi-quality-characteristic Products

Li Yaping1;Liu Sifeng2,3;Fang Zhigeng2;Chen Hongzhuan2;Xu Lan4   

  1. 1.Nanjing Forestry University, Nanjing, 210037
    2.Nanjing University of Aeronautics and Astronautics, Nanjing, 210016
    3.De Montfort University, Leicester, UK, LE1 9BH
    4.Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003
  • Online:2016-04-25 Published:2016-04-26
  • Supported by:

摘要: 提出一种多质量特性的产品参数选择灰靶模型来辅助工程设计者进行决策。结合正交试验设计,针对多质量特性产品参数选择的具体问题,研究了灰靶模型的要素及相互间关系;提出一组改进型田口质量损失函数,并将其损失值作为灰靶模型效果的基本测度。该模型能兼顾设计过程中的内外影响因素,判断出可取和不可取的参数组合,从而确定方案的满意区域;根据效果测度值可以确定多质量特性产品的最优参数水平组合。

关键词: 多质量特性, 参数选择, 灰靶, 田口质量损失函数, 正交试验

Abstract: A grey target model for parameter choice of multi-quality-characteristic products was proposed to aid engineering designers to make decisions. Based on orthogonal experimental design, elements and relationships among them of the grey target model were studied for the parameter choice of multi-quality-characteristic products. A group of improved Taguchi quality loss functions were developed, and their values were thought to be the basic measures for the effects in the grey model. The internal and external factors were considered simultaneously in the design process. According to the effect value, acceptable parameter combinations were distinguished from unacceptable ones to get a satisfactory domain for design. Moreover, based on the effect value, the optimal parameter combination for multi-quality-characteristic products can be obtained.

Key words: multiple quality characteristics, parameter choice, grey target, Taguchi quality loss function, orthogonal experiment

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