文章摘要
李奋强,卢彦钠,韩素斌,周彩霞,殷乐.基于协同用户的陪伴类产品功能识别方法研究[J].包装工程,2020,40(24):110-117.
基于协同用户的陪伴类产品功能识别方法研究
Function Recognition Method of Companion Products Based on Collaborative Users
投稿时间:2020-09-28  
DOI:10.19554/j.cnki.1001-3563.2020.24.016
中文关键词: 产品功能  陪伴类产品  协同用户角色模型  功能识别
英文关键词: product function  companion product  collaborative user role model  function recognition
基金项目:
作者单位
李奋强 兰州理工大学兰州730050 
卢彦钠 兰州理工大学兰州730050 
韩素斌 重庆三峡学院万州404000 
周彩霞 兰州理工大学兰州730050 
殷乐 兰州理工大学兰州730050 
摘要点击次数:
全文下载次数:
中文摘要:
      目的 针对目前陪伴类产品因功能延展性差而导致产品闲置和资源浪费这一现实问题,从双用户出发构建一套较为适用的功能识别方法模型,来深层次挖掘功能拓展潜力和提高功能延展性。方法 从主用户和陪伴用户来细分多用户构建协同用户角色模型,通过查阅文献资料、访谈调研等方法,来深层次挖掘用户的需求功能,运用KANO模型获取分功能要素在产品整体需求功能中的权重因子,综合运用随机和组合过程计算产品功能组合方案的总体需求度排序,由此筛选出用户需求度较高且与主用户具有匹配度的功能组合方案。结论 以婴儿车为例,运用该方法进行功能方案的输出,验证该方法模型操作的科学性和有效性。
英文摘要:
      The work aims to construct a set of more applicable function recognition method model from the perspective of dual users to deeply explore function expansion potential and improve function scalability in view of the current problems of product idleness and resource waste caused by poor function scalability of companion products. Multiple users were subdivided from the main users and companion users to build a collaborative user role model, and deeply excavate the users’ demand function through literature review, interview survey and other methods. The weight of the sub-functional elements in the overall demand function of the productwas obtained by the KANO model. The stochastic and combined process was used to calculate the overall demand ranking of the product function combination scheme, and the function combination scheme with high user demand and matching with the main user wasselected.Taking the baby carriage as an example, the method is used to output the function scheme, and the scientific and effective operation of this method model is verified.
查看全文   查看/发表评论  下载PDF阅读器
关闭

关于我们 | 联系我们 | 投诉建议 | 隐私保护

您是第20155902位访问者    渝ICP备15012534号-4

版权所有:《包装工程》编辑部 2014 All Rights Reserved

邮编:400039 电话:023—68792836传真:023—68792396 Email: designartj@126.com

    

  
 

渝公网安备 50010702501717号