文章摘要
黄晶,刘芮畅.基于对应分析及拓展的行李箱设计特性评价[J].包装工程,2019,40(17):138-143.
HUANG Jing,LIU Rui-chang.Evaluation of Suitcase Design Characteristics Based on Correspondence Analysis and Its Extension[J].Packaging Engineering,2019,40(17):138-143.
基于对应分析及拓展的行李箱设计特性评价
Evaluation of Suitcase Design Characteristics Based on Correspondence Analysis and Its Extension
投稿时间:2019-05-05  修订日期:2019-09-10
DOI:10.19554/j.cnki.1001-3563.2019.17.020
中文关键词: 设计特性  评价要素  对应分析  维得分  指标量化
英文关键词: design characteristics  evaluation factors  correspondence analysis  score in dimension  quantification of indicators
基金项目:河南省高校大学生创新创业训练计划(201810460023)
作者单位
黄晶 河南理工大学河南 焦作 454000 
刘芮畅 河南理工大学河南 焦作 454000 
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中文摘要:
      目的 利用京东网上商城中的用户评价数据,对行李箱的设计特性进行分析,提出一种简便易行的产品设计特性量化评价方法,以支持企业产品开发决策。方法 通过对电商平台的评价数据进行筛选,组织专家和用户运用亲和图法归纳出行李箱的设计特性分类;利用SPSS软件对评价数据进行统计分析,计算出维得分,并得出二维对应分析图,对行李箱的设计特性进行定量化测度。结果 根据用户评价数据将行李箱设计特性分为外观、功能、安全、细节等4类;利用二维对应分析图中各样本坐标信息对样本设计特性进行定量计算,量化出各样本的设计特性。结论 利用电商平台的数据信息,通过对应分析图和设计特性度的计算,可将用户的评价数据转化为对产品设计特性的量化评价,为企业产品开发提供决策支持。
英文摘要:
      The work aims to propose a simple and easy quantitative evaluation method of product design features to support the product development decision of the companies by analyzing the suitcase design features based on the user evaluation data of JD online mall. After screening of the evaluation data of e-commerce platforms, the classification of suitcase design features was summarized by experts and users in the affinity graph method. SPSS software was used for statistical analysis of evaluation data, the dimension scores were calculated, and the two-dimensional correspondence analysis diagrams were obtained to quantify the suitcase design features. According to the user evaluation data, the suitcase design characteristics were divided into 4 types, such as appearance, function, safety and details. The coordinate information of each sample in the two-dimensional correspondence analysis diagram was used for quantitative calculation of sample design features to quantify the design features of each sample. By means of the data information of e-commerce platform, and based on the correspondence analysis diagram and the calculation of design feature degree, user evaluation data can be converted into the quantitative evaluation of product design feature. The proposed method will provide decision support for enterprise product development.
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