典型文献
Data-driven Product Functional Configuration:Patent Data and Hypergraph
文献摘要：
The product functional configuration(PFC)is typically used by firms to satisfy the individual requirements of custom-ers and is realized based on market analysis.This study aims to help firms analyze functions and realize functional configurations using patent data.This study first proposes a patent-data-driven PFC method based on a hypergraph network.It then constructs a weighted network model to optimize the combination of product function quantity and object from the perspective of big data,as follows:(1)The functional knowledge contained in the patent is extracted.(2)The functional hypergraph is constructed based on the co-occurrence relationship between patents and appli-cants.(3)The function and patent weight are calculated from the patent applicant's perspective and patent value.(4)A weight calculation model of the PFC is developed.(5)The weighted frequent subgraph algorithm is used to obtain the optimal function combination list.This method is applied to an innovative design process of a bathroom shower.The results indicate that this method can help firms detach optimal function candidates and develop a multifunc-tional product.
文献关键词：
中图分类号：
作者姓名：
Wenguang Lin;Xiaodong Liu;Renbin Xiao
作者机构：
Key Laboratory of Intelligent Manufacturing Equipment,Xiamen Uni-versity of Technology,Xiamen 361005,China;School of Artificial Intel-ligence and Automation,Huazhong University of Science and Technology,Wuhan 400073,China
文献出处：
引用格式：
[1]Wenguang Lin;Xiaodong Liu;Renbin Xiao-.Data-driven Product Functional Configuration:Patent Data and Hypergraph)[J].中国机械工程学报,2022(04):80-96
A类：
cants,applicant,detach
B类：
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AB值：
0.512026
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