产品族设计DNA可遗传因子提取
发布时间：2019-04-27 11:03
【摘要】：综合应用多种感性工学研究方法从国电南自现有平台产品族设计中来推导出可用产品族DNA.首先,依照企业专家组意见从现有产品族中选取代表性样本,在进行态度倾向预测试的基础上选取了42名研究生进行主观评分测试,运用多种统计方法来推导遗传因子.然后,在微观视角中应用FSA法和Delphi法归纳出产品族显性DNA遗传因子,在宏观视角下应用SD法推导出产品族隐性DNA遗传因子.最后,将归纳出的显性及隐形遗传因子在新一代平台产品设计实践中应用和检验,为新平台产品族设计提供了可行性指导.该方法具有通用性,可推广应用到一般性软、硬件控制界面的产品识别设计中.
[Abstract]:Using multiple inductive engineering research methods, the available product family DNA. is derived from the existing platform product family design of Guodiannan. Firstly, according to the opinion of the enterprise expert group, the representative samples were selected from the existing product family, and 42 graduate students were selected for subjective scoring test on the basis of the attitude tendency prediction test, and the genetic factors were deduced by using a variety of statistical methods. Then, the dominant DNA genetic factors in the product family were induced by the FSA and Delphi methods in the microscopic perspective, and the recessive DNA genetic factors in the product family were deduced by the SD method in the macro perspective. Finally, the dominant and invisible genetic factors are applied and tested in the product design practice of the new platform, which provides the feasibility guidance for the product family design of the new platform. This method is universal and can be applied to the product identification design of general software and hardware control interface.
【作者单位】： 东南大学机械工程学院;华为软件技术有限公司;水石信息科技有限公司;
【基金】：国家自然科学基金资助项目(71271053,71471037) 江苏省普通高校研究生科研创新计划资助项目(KYLX-0104)
【分类号】：TB472
本文编号：2466922
[Abstract]:Using multiple inductive engineering research methods, the available product family DNA. is derived from the existing platform product family design of Guodiannan. Firstly, according to the opinion of the enterprise expert group, the representative samples were selected from the existing product family, and 42 graduate students were selected for subjective scoring test on the basis of the attitude tendency prediction test, and the genetic factors were deduced by using a variety of statistical methods. Then, the dominant DNA genetic factors in the product family were induced by the FSA and Delphi methods in the microscopic perspective, and the recessive DNA genetic factors in the product family were deduced by the SD method in the macro perspective. Finally, the dominant and invisible genetic factors are applied and tested in the product design practice of the new platform, which provides the feasibility guidance for the product family design of the new platform. This method is universal and can be applied to the product identification design of general software and hardware control interface.
【作者单位】： 东南大学机械工程学院;华为软件技术有限公司;水石信息科技有限公司;
【基金】：国家自然科学基金资助项目(71271053,71471037) 江苏省普通高校研究生科研创新计划资助项目(KYLX-0104)
【分类号】：TB472
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