为解决制造业企业如何将客户需求融入多价值链协同创新方案的难题,本文首先利用Python网络爬虫收集用户评论信息,基于隐狄利克雷分布主题模型(latent dirichlet allocation,LDA)从用户评论中识别客户需求主题.其次,借鉴质量功能配置(quality function deployment,QFD)思想,借助概率语义术语集(probabilistic linguistic term set,PLTS)将识别的需求转化为创新要素并进行重要度排序.然后,提出"链-维-法"(chain-dimension-method,CDM)三层耦合创新方案生成方法,从多价值链角度,运用多维技术创新地图对创新要素进行维度划分,并与多个创新法则耦合,生成一系列备选创新方案;并基于方案生成过程构建制造业服务化数据空间体系.最后,以某电力装备制造企业为例验证所提出数据空间体系的有效性.研究结果表明,该制造业服务化数据空间体系的构建能够帮助企业优化多价值链协同创新管理决策.
Research on Multi-Value Chain Collaborative Innovation Management for Manufacturing Servitization Oriented to the Construction of Data Space System
Manufacturing enterprises can provide better solutions for customers and gain global competitive advantages through servitization transformation.The rapid development of big data technology has provided the source power for the transformation of data-driven manufacturing industries into services.It is of great significance to study how to use online comments and other Internet information to mine customer potential demand,and put forward a series of methods to transform customer demand into multi-value chain collaborative innovation solutions,so as to solve the problem of integrating customer demand into multi-value chain collabora-tive innovation solutions for manufacturing enterprises.Taking manufacturing enterprises as the research object,a multi-value chain collaborative innovation management method is proposed oriented to the construc-tion of data space system.Python web crawler is used to collect user comment information,and customer demand topics are identified from user comments based on Latent Dirichlet Allocation(LDA)model.Secondly,by referring to the idea of quality function deployment(QFD),the identified requirements would be transformed into innovation elements by using the probabilistic semantic term set(PLTS)and then the importance is ranked.Then,a three-layer coupled innovation scheme generation Method called"chain-dimension-method"(CDM)is proposed.From the perspective of multi-value Chain,the dimension of innova-tion elements is divided by using multidimensional technology innovation map technology,and a series of alternative innovation schemes are generated by coupling with multiple innovation rules.Based on the research results,the data space system of manufacturing servitization is constructed.Finally,taking an electric power equipment manufacturing enterprise as an example,10,445 user comment data of Tmall e-commerce platform are crawled and the multi-value chain collaborative innovation management method proposed in this paper is used to verify the effectiveness of the proposed data space system.The research results show that the construc-tion of the manufacturing servitization data space system can help enterprises optimize multi-value chain col-laborative innovation management decisions.
dataspacemulti value chain collaborationmanufacturing servitizationcustomer demandinnova-tive management method
万方数据
维普
