基于数据挖掘的绿色设计中客户需求向工程特性权重转化方法
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摘要
针对客户需求向工程特性转化过程中存在的主观性、模糊性和复杂性等问题,提出了一种基于数据挖掘的客户需求数据向工程特性权重的转化方法。利用模糊层次分析法对采集到的客户需求数据进行分析,得到客户需求重要度,建立了单一客户的质量屋,获取该客户需求对应的工程特性权重。构建了多层感知器模型,挖掘客户需求数据与工程特性权重之间的关系,确定客户需求向工程特性权重之间的转化模型。最后以减速器的客户需求与工程特性的转化为例,验证了所提方法的可行性和有效性。
Due to the subjectivity,ambiguity and complexity of the transformation customers demands into engineering characteristics,a method was proposed based on data mining,which converted customers demand data into engineering characteristic weights.This paper used fuzzy analytic hierarchy process to analyze customers demands and obtained the importance of customers demands.Single customers quality house was established to obtain engineering characteristic weights corresponding with customers demands.The model of MLP was built to mine the relationships between customers demand data and engineering characteristic weights.Finally,the feasibility and effectiveness of the proposed method were verified by the example of conversion from customers demands to engineering characteristics.
Due to the subjectivity,ambiguity and complexity of the transformation customers demands into engineering characteristics,a method was proposed based on data mining,which converted customers demand data into engineering characteristic weights.This paper used fuzzy analytic hierarchy process to analyze customers demands and obtained the importance of customers demands.Single customers quality house was established to obtain engineering characteristic weights corresponding with customers demands.The model of MLP was built to mine the relationships between customers demand data and engineering characteristic weights.Finally,the feasibility and effectiveness of the proposed method were verified by the example of conversion from customers demands to engineering characteristics.
引文
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[2]贺正楚,潘红玉.德国“工业4.0”与“中国制造2025”[J].长沙理工大学学报(社会科学版),2015(3):103-110.HE Zhengchu,PAN Hongyu.German “Industry4.0”and“Made in China 2025”[J].Journal of Changsha University of Science and Technology(Social Sciences Edition),2015(3):103-110.
[3]王喜文.新工业革命背景下的“中国制造2025”[J].中国发展观察,2015(7):17-20.WANG Xiwen.“Made in China 2025”under the Background of New Industrial Revolution[J].China Development Observation,2015(7):17-20.
[4]袁长峰,刘晓冰,陈燕.基于需求元的产品需求分析[J].大连海事大学学报,2008,34(2):113-116.YUAN Changfeng,LIU Xiaobing,CHEN Yan.Product Demand Analysis Based on Demand Element[J].Journal of Dalian Maritime University,2008,34(2):113-116.
[5]王鹏家,巩亚东,谢华龙,等.面向客户需求的机床产品配置及优化决策研究[J].组合机床与自动化加工技术,2016(8):148-152.WANG Pengjia,GONG Yadong,XIE Longhua,et al.Research on Machine Tool Product Configuration and Optimization Decision-making Based on Customer Demand[J].Combined Machine Tool and Automatic Machining Technology,2016(8):148-152.
[6]李瑞森.面向客户需求的数控机床方案设计参数建模技术研究[D].杭州:浙江大学,2014.LI Ruisen.Research on Design Parameters Modeling Technology of CNC Machine Tools Based on Customer Demand[D].Hangzhou:Zhejiang University,2014.
[7]高洋,刘志峰,胡迪,等.面向绿色设计的客户需求工程参数转化方法[J].中国机械工程,2011,22(5):580-587.GAO Yang,LIU Zhifeng,HU Di,et al.The Converting Method of Customer Demand Engineering Parameter for Green Design[J].China Mechanical Engineering,2011,22(5):580-587.
[8] SOOTA T.Integrated Approach for Sustainable Product Development Using QFD and ANP[J].International Journal of Industrial&Systems Engineering,2017,25(1):59.
[9] LIU A,HU H,ZHANG X,et al.Novel Two-phase Approach for Process Optimization of Customer Collaborative Design Based on Fuzzy-QFD and DSM[J].IEEE Transactions on Engineering Management,2017,64(2):193-207.
[10] CARNEVALLI J A.An Analysis of Quality Function Deployment(QFD)Application by Automotive Assemblers and Autoparts Companies in Brazil[J].International Journal of Automotive Technology&Management,2017,11(1):49-66.
[11]钟晓,马少平,张钹,等.数据挖掘综述[J].模式识别与人工智能,2001,14(1):48-55.ZHONG Xiao,MA Shaoping,ZHANG Bai,et al.Summary of Data Mining[J].Pattern Recognition and Artificial Intelligence,2001,14(1):48-55.
[12]李升林,乌兰木其.基于数据挖掘的需求分析研究[J].中国机械工程,2003,14(5):392-395.LI Shenglin,Wulanmuqi.Demand Analysis Based on Data Mining[J].China Mechanical Engineering,2003,14(5):392-395.
[13]王扶东,马玉芳.基于数据挖掘的客户细分方法的研究[J].计算机工程与应用,2011,47(4):215-218.WANG Fudong,MA Yufang.Research on Customer Segmentation Method Based on Data Mining[J].Computer Engineering and Application,2011,47(4):215-218.