摘要
面向大规模定制生产,建立了客户倾向模型,通过关联分析法量化市场调研和客户需求,采用最大树模糊聚类法进行基于属性重要度的客户群体划分和市场细分,获取客户群体消费倾向,为客户需求的工程特征转换、进行产品簇规划提供数学准备和数据支持。
Customer requirements are the necessary information in product family planning for mass customization (MC). This paper focuses on transforming those latent and fuzzy data into the quantitative representation and design-oriented engineering indices. A customer preference model based on product features and customer requirement characteristics is established, then conjoint analysis method is adopted to guide the marketing investigation and to quantify the customer requirements, and fuzzy maximum tree cluster method is used to classifying customer groups and segmenting market based on the attribute importance.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第1期199-200,216,共3页
Computer Engineering
基金
广东省自然科学基金团队资助项目(20003051)
广东省科技攻关基金资助项目(2002B10401)
关键词
大规模定制
属性重要度
模糊最大树
聚类
Mass customization (MC)
Attribute importance
Fuzzy maximum tree
Cluster
