基于虚拟正交试验和改进QFD的产品平台规划方法
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摘要
敏感度分析是考虑设计参数对性能的影响进行产品平台规划的方法,而对于性能参数与设计参数之间不存在明确数学函数的产品,目前的敏感度分析方法难以适用.针对这一不足,提出了基于虚拟正交试验的敏感度分析方法,并结合改进QFD进行产品平台规划.首先,基于正交试验设计法确定虚拟试验方案;其次利用内置软件搭建虚拟试验环境,设置不同取值的设计参数并实时记录性能参数的变化,以两种参数的变化量之比为基础计算设计参数敏感度,构建敏感度矩阵,代替传统QFD质量屋中的关联关系矩阵衡量设计参数与性能参数间的关联程度,降低传统QFD方法的主观性;最后利用改进QFD方法识别产品平台参数,验证了该方法的有效性.
Sensitivity analysis is a method of product platform planning considering the influence of design parameters on performance.However,the current sensitivity analysis method is difficult to apply to products where there is no clear mathematical function between the performance parameters and design parameters.In view of this deficiency,a sensitivity analysis method based on virtual orthogonal test is proposed,and the product platform planning is carried out in combination with improved QFD.Firstly,the virtual test scheme is determined based on the orthogonal experiment design method.Secondly,a virtual test environment is built by built-in software,in which the design parameters is set of different values and the performance parameters' change is recorded in real-time.And the sensitivity of the design parameters is calculated based on the ratio of the two parameters.Then the sensitivity matrix is constructed and used to replace the traditional correlation matrix in the QFD house to measure the degree of correlation between the design parameters and the performance parameters so as to reduce the subjectivity of the traditional QFD method.Finally,the improved QFD method is used to identify the product platform parameters,and the effectiveness of the method is verified.
Sensitivity analysis is a method of product platform planning considering the influence of design parameters on performance.However,the current sensitivity analysis method is difficult to apply to products where there is no clear mathematical function between the performance parameters and design parameters.In view of this deficiency,a sensitivity analysis method based on virtual orthogonal test is proposed,and the product platform planning is carried out in combination with improved QFD.Firstly,the virtual test scheme is determined based on the orthogonal experiment design method.Secondly,a virtual test environment is built by built-in software,in which the design parameters is set of different values and the performance parameters' change is recorded in real-time.And the sensitivity of the design parameters is calculated based on the ratio of the two parameters.Then the sensitivity matrix is constructed and used to replace the traditional correlation matrix in the QFD house to measure the degree of correlation between the design parameters and the performance parameters so as to reduce the subjectivity of the traditional QFD method.Finally,the improved QFD method is used to identify the product platform parameters,and the effectiveness of the method is verified.
引文
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[2] NAYAK R U,CHEN W,SIMPSON T W.A variation-based method for product family design[J].Engineering Optimization,2002,34(1):65-81.
[3]镇璐,蒋祖华,孟祥慧.基于进化的产品平台参数规划方法[J].上海交通大学学报,2006,40(5):818-821.ZHEN Lu,JIANG Zuhua, MENG Xianghui.A method of evolutionary product platform parameters planning[J].Journal of Shanghai Jiao Tong University,2006,40(5):818-821.
[4] MESSAC A,MARTINEZ M P,SIMPSON T W.Introduction of a product family penalty function using physical programming[J].Journal of Mechanical Design,2002,124(2):164-172.
[5]程贤福.基于设计关联矩阵和差异度分析的可调节变量产品平台设计方法[J].机械设计,2013,30(4):1-5.CHENG Xianfu.Scalable product platform design based on design relation matrix and diversity analysis[J].Journal of Machine Design,2013,30(4):1-5.
[6]李柏姝,雒兴刚,唐加福.基于灵敏度分析的产品族规划方法[J].机械工程学报,2010,46(15):117-124.LI Baishu,LUO Xinggang,TANG Jiafu.Sensitivity analysis-based method for product family design[J].Journal of Mechanical Engineering,2010,46(15):117-124.
[7]程强,刘广博,刘志峰,等.基于敏感度分析的机床关键性几何误差源识别方法[J].机械工程学报,2012,48(7):171-179.CHENG Qiang,LIU Guangbo,LIU Zhifeng,et al.An identification approach for the key geometric error sources of machine tools based on sensitivity analysis[J].Journal of Mechanical Engineering,2012,48(7):171-179.
[8]朱斌,江平宇,龙奕良.产品平台参数的回归规划方法及Web实现[J].计算机集成制造系统,2003,9(12):1067-1071.ZHU Bin,JIANG Pingyu,LONG Yiliang.Product platform variables planning method based on regression analysis and its Web implementation[J].Computer Integrated Manufacturing System,2003,9(12):1067-1071.
[9]周晓和,任杰,马大为,等.适应性底座附加载荷影响因素的敏感度分析[J].上海交通大学学报,2015,49(5):657-662.ZHOU Xiaohe, REN Jie, MA Dawei,et al.Sensitivity analysis of affecting factors for additional load on adaptive base[J].Journal of Shanghai Jiao Tong University,2015,49(5):657-662.
[10] ZUO W,E J,LIU X,et al.Orthogonal experimental design and fuzzy grey relational analysis for emitter efficiency of the micro-cylindrical combustor with a step[J].Applied Thermal Engineering,2016,103:945-951.
[11] NAHM Y E,ISHIKAWA H,INOUE M.New rating methods to prioritize customer requirements in QFD with incomplete customer preferences[J].The International Journal of Advanced Manufacturing Technology,2013,65(9/10/11/12):1587-1604.
[12] KARSAK E E,DURSUN M.An integrated supplier selection methodology incorporating QFD and DEA with imprecise data[J].Expert Systems with Applications,2014,41(16):6995-7004.
[13] LI M,JIN L,WANG J.A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user’s perspective in intuitionistic fuzzy environment[J].Applied Soft Computing,2014,21:28-37.
[14] XIA S S,WANG L Y.Customer requirements mapping method based on association rule mining for mass customization[J].Journal of Shanghai Jiao Tong University(Science),2008,13(3):291-296.
[15] IQBAL Z,GRIGG N P,GOVINDARAJU K,et al.A distance-based methodology for increased extraction of information from the roof matrices in QFD studies[J].International Journal of Production Research,2016,54(11):3277-3293.
[16] GENG X,CHU X,XUE D,et al.A systematic decision-making approach for the optimal productservice system planning[J].Expert Systems with Applications,2011,38(9):11849-11858.
[17]魏红生,何建农.基于点锐度法和小波变换的图像融合方法[J].计算机工程,2010,36(23):204-206.WEI Hongsheng,HE Jiannong.Images fusion algorithm based on point sharpness method and wavelet transformation[J].Computer Engineering,2010,36(23):204-206.
[18]李中凯,朱真才,谢蕾,等.参数化产品族的通用性与性能权衡评价方法[J].中国工程机械学报,2010,8(1):35-40.LI Zhongkai,ZHU Zhencai,XIE Lei,et al.Genetic performance trading-off evaluation on parametric product family[J].Chinese Journal of Construction Machinery,2010,8(1):35-40.