一种基于客户需求挖掘的产品定制化方法与实例研究  

A product customization method and its case studybased on customer requirement mining

作　　者：肖人彬[1] 詹贵宁 李贵[1] IAO Renbin;ZHAN Guining;LI Gui(School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学人工智能与自动化学院,湖北武汉430074

出　　处：《南昌工程学院学报》2024年第4期1-14,共14页Journal of Nanchang Institute of Technology

基　　金：国家自然科学基金资助项目(52275249)。

摘　　要：大规模个性化定制是面向客户个性化需求的定制生产模式,代表了现代生产的发展方向。为了适应大规模个性化定制的发展要求,本文提出了一种基于客户需求挖掘的产品定制化方法。该方法以情感分析为手段,以评论数据为驱动,通过基于产品—竞品比较的产品定制化特征挖掘实现客户需求挖掘;基于产品族架构对产品进行定制化改进,采用遗传算法对评论挖掘得到的待优化特征加以优化求解。文中开展了与所提出方法对应的案例研究,以某国产全自动洗衣机为例,将本文方法用于产品的定制化改进,通过对改进过程的各环节的展示,验证了所提出方法的有效性,可为大规模个性化定制生产模式的实现提供技术层面的支持。Massive personalized customization is a kind of customized production mode for the personalized requirements of customers,which represents the development direction of modern production.In order to meet the development tendency of massive personalized customization,a product customization method based on customer requirement mining is proposed.The proposed method takes sentiment analysis as the means and review data as the driving force to realize customer requirement mining through product customization feature mining based on product-competitor comparison.Then the product customized improvements are conducted based on the product family architecture,and the genetic algorithm is used to solve the features to be optimized by the review mining to obtain the optimization scheme.In this paper,a case study corresponding to the proposed method is carried out.Taking a domestic automatic washing machine as an example,the method is applied to the product customization improvements,and some in-depth analysis is carried out.Through the demonstration of each step in the whole improvement process of such a case,the effectiveness of the proposed method is verified,which can offer a kind of technical support for the implementation of massive personalized customization production mode.

关 键 词：大规模个性化定制 客户需求 评论挖掘 情感分析 个性化定制 产品族架构 案例研究 

分 类 号：TH166[机械工程—机械制造及自动化]