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J4  2011, Vol. 45 Issue (4): 637-643    DOI: 10.3785/j.issn.1008-973X.2011.04.008
    
Technology of demand feedback and navigation based on
dynamic design structure matrix
HAN Hai-rong, ZHANG Shu-you, QIU Le-miao
Department of Mechanical Engineering, Zhejiang University,Hangzhou 310027,China
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Abstract  

The technology of demand feedback and navigation based on dynamic design structure matrix (DSM) was proposed due to the contradiction between multi-demands and responding speed. Static potential contradiction DSM was created based on coupling rules of product design parameters. The DSM was transformed according to the priority order of product properties in order to totally plan the customization system. The DSM was dynamically transformed according to the specific demand. Then overall process feedback and navigation for customers were provided, and the customization demand for customers was completed. This technology was applied in the demand customization system of elevator product. Non-standard rate of product was remarkably decreased, and the efficiency of responding to customer demand was improved.



Published: 05 May 2011
CLC:  TP 391  
Cite this article:

HAN Hai-rong, ZHANG Shu-you, QIU Le-miao. Technology of demand feedback and navigation based on
dynamic design structure matrix. J4, 2011, 45(4): 637-643.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2011.04.008     OR     http://www.zjujournals.com/eng/Y2011/V45/I4/637


基于动态设计结构矩阵的客户需求反馈导航技术

针对需求多样化与需求响应速度间的矛盾,提出需求获取过程中的需求反馈导航技术.根据产品设计参数之间的耦合约束规则,构建产品静态潜在矛盾设计结构矩阵(DSM).根据属性间的优先顺序对矩阵进行初始变换,按照变换后的矩阵对需求定制系统进行整体规划.根据客户具体需求对静态潜在设计结构矩阵进行动态变化,实现客户需求定制的全方位过程导航和反馈,从而帮助客户完成需求定制.该方法在电梯产品的需求定制系统中得到了实际应用,有效降低了产品的需求非标率,提高了客户需求响应效率.

[1] ASHLEY S. Rapid response design [J]. Mechanical Engineering, 1997, 119(12): 72-74.
[2] TAN G W, SHAW M J, FULKERSON B. Webbased supply chain management [J]. Information Systems Frontiers, 2000, 1(2): 41-55.
[3] 刘文富.快速响应客户需求的订单交货期预测方法研究[D].杭州:浙江大学, 2006.LIU Wenfu. Research on order due date forecasting method of rapid response to customer demand [D]. Hangzhou: Zhejiang University, 2006.
[4] 王新,谭建荣,张树有,等.协同环境需求响应模型研究[J].中国机械工程,2005,16(21): 1921-1925, 1935.
WANG Xin, TAN Jianrong, ZHANG Shuyou, et al. Research on model of response for requirement in collaborative environment [J]. Chinese Journal of Mechanical Engineering, 2005, 16(21): 1921-1925, 1935.
[5] 丁俊武,韩玉启,郑称德.基于TRIZ的产品需求获取研究[J].计算机集成制造系统,2006,12(5): 648-653.
DING Junwu, HAN Yuqi, ZHENG Chengde. Research on capturing of customer requirements based on TRIZ [J]. Computer Integrated Manufacturing Systems, 2006, 12(5): 648-653.
[6] 但斌,王江平,刘瑜.大规模定制环境下客户需求信息分类模型及其表达方法研究[J].计算机集成制造系统,2008,14(8): 1504-1511.
DAN Bin, WANG Jiangping, LIU Yu. Taxonomy model and representation approaches of customer needs information for mass customization [J]. Computer Integrated Manufacturing Systems, 2008, 14(8): 1504-1511.
[7] THOMAS K. MES in the age of agile manufacturing [J]. Chicago USA: A Presentation at M ESA Roundtable, 1995(4): 1-10.
[8] 郭伟,胡明艳.基于Web源的客户需求获取及分析方法[J].计算机集成制造系统,2004,10(9): 1165-1170.
GUO Wei, HU Mingyan. Methodology of exploring and analyzing the VOC based on extensive web data source [J]. Computer Integrated Manufacturing Systems, 2004, 10(9): 1165-1170.
[9] 孙伟,马沁怡,刘晓冰.基于设计仓库的产品需求获取与处理方法研究[J].计算机集成制造系统,2003, 9(8): 686-690.
SUN Wei, MA Qinyi, LIU Xiaobing. A method of product requirements acquisition and processing based on design repository [J]. Computer Integrated Manufacturing Systems, 2003, 9(8): 686-690.
[10] STEWARD D V. Design structure system: a method for managing the design of complex system [J]. IEEE Transactions on Engineering Management, 1981, EM28(3): 71-74.

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