重庆大学学报2017，Vol.40Issue(3)：24-33,10.DOI:10.11835/j.issn.1000-582X.2017.03.003
面向顾客需求的在线匹配定制方法
An online matching customized method facing customers needs
摘要
Abstract
Online customized product involves complex processes,including design and production,and hence the quick feedback of the design and its feasibility is important and difficult for implementing online customization.Therefore,a case-based reasoning (CBR) customized method is proposed,which can shorten the time for designing and avoid unnecessary repeated design.Firstly,the weights of demand and engineering design are determined by quality function deployment (QFD) and analytic hierarchy process (AHP).And a more objective,conveniently-handled and easily-distinguished method based on the Gaussian member function is constructed to calculate the matching value.Besides,a machine learning method is constructed on the basis of Beta distribution.Matching threshold can be obtained through machine learning,which changes depending on the market.Secondly,according to customers' diversified sensitivities towards various products,regulatory factors are introduced to adjust the final matching value.By comparing the matching threshold,the design and its feasibility can be acquired.Finally,customized refrigerator is taken as an example to prove the practicability and effectiveness of the method.关键词
定制配置/匹配/实例推理/顾客对工厂/机器学习Key words
custom configuration/matching/case-based reasoning (CBR)/customer-to-factory (C2F)/machine learning分类
管理科学引用本文复制引用
倪霖,王开聘,王旭..面向顾客需求的在线匹配定制方法[J].重庆大学学报,2017,40(3):24-33,10.基金项目
国家科技支撑计划资助项目(2015BAF05B03).Project Supported by the National Key Technology Support Program (2015BAF05B03). （2015BAF05B03）
