摘要
产品族规划是产品平台设计的关键环节,它主要包括市场细分与产品族定位两个阶段,帮助企业＂在恰当的市场提供恰当的多样性＂。针对目前产品族规划过程中存在的主观性等特点,提出了基于数据挖掘的产品族规划方法,从而辅助企业定位出具有广泛开发价值的市场区间,为后续面向该市场区间的产品族设计奠定了基础。首先,基于历史市场数据,通过聚类分析方法完成市场细分;然后在其基础上,采用随机森林分类算法实现市场新需求到细分市场区间的定位,并结合企业自身优势实现产品族的定位。最后,以地铁车辆为例,验证了该方法的有效性和可行性。
Product family planning is the key step of product platform design. It includes two stages： market segmentation and product family positioning,which helps enterprises to provide appropriate variety in the right market.In view of the subjectivity existing in the current product family planning process,this paper proposes a product family planning method based on data mining to help enterprises to locate market segments with extensive development value,which laid the foundation for subsequent product family design for this market segment. First of all,based on the historical market data,the market segmentation is completed through the method of cluster analysis. Then,we realize the positioning of the new customer requirements to the market segment based on the random forest algorithm,and combined with the enterprise ＇s own advantages to realize the product family planning. Finally,its validity and feasibility are verified by the example of the subway trains.
作者
刘兴中
韩鑫
黎荣
武浩远
钱一山
LIU Xingzhong; HAN Xin; LI Rong; WU Haoyuan; QIAN Yishan(Institute of advanced design and manufacturing, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 61003,China)
出处
《机械设计与研究》
CSCD
北大核心
2018年第5期7-11,共5页
Machine Design And Research
基金
国家重点研发计划资助项目(2017YFB1201102)
关键词
产品族规划
市场细分
产品族定位
数据挖掘
product family planning
market segmentation
product family positioning
data mining
