Design for six sigma(DFSS) is a powerful approach of designing products,processes,and services with the objective of meeting the needs of customers in a cost-effective manner.DFSS activities are classified into four m...Design for six sigma(DFSS) is a powerful approach of designing products,processes,and services with the objective of meeting the needs of customers in a cost-effective manner.DFSS activities are classified into four major phases viz.identify,design,optimize,and validate(IDOV).And an adaptive design for six sigma(ADFSS) incorporating the traits of artificial intelligence and statistical techniques is presented.In the identify phase of the ADFSS,fuzzy relation measures between customer attributes(CAs) and engineering characteristics(ECs) as well as fuzzy correlation measures among ECs are determined with the aid of two fuzzy logic controllers(FLCs).These two measures are then used to establish the cumulative impact factor for ECs.In the next phase(i.e.design phase),a transfer function is developed with the aid of robust multiple nonlinear regression analysis.Furthermore,this transfer function is optimized with the simulated annealing(SA) algorithm in the optimize phase.In the validate phase,t-test is conducted for the validation of the design resulted in earlier phase.Finally,a case study of a hypothetical writing instrument is simulated to test the efficacy of the proposed ADFSS.展开更多
为提升产品质量,以风噪问题为切入点,利用六西格玛设计(Design For Six Sigma,DFSS)理论和工具,对某款车型建立风噪问题稳健评估模型,根据风洞试验对风噪问题进行分析和研究,建立稳健性设计模型,并提出针对性的控制措施,最终达到车内风...为提升产品质量,以风噪问题为切入点,利用六西格玛设计(Design For Six Sigma,DFSS)理论和工具,对某款车型建立风噪问题稳健评估模型,根据风洞试验对风噪问题进行分析和研究,建立稳健性设计模型,并提出针对性的控制措施,最终达到车内风噪的目标水平。研究表明,尾门至顶盖之间的车身间隙对车内风噪影响贡献量最大,同时经稳健设计后的尾门至顶盖密封结构可降低该车型后排车内噪声。展开更多
利用六西格玛设计(design for six Sigma,DFSS)方法,通过定量核磁共振碳谱(quantitative carbon nuclear magnetic resonance spectroscopy,^(13)C qNMR)对由11种已知烃类化合物组成的模型油品进行了芳香碳摩尔百分比[C(ar)%,简称芳碳率...利用六西格玛设计(design for six Sigma,DFSS)方法,通过定量核磁共振碳谱(quantitative carbon nuclear magnetic resonance spectroscopy,^(13)C qNMR)对由11种已知烃类化合物组成的模型油品进行了芳香碳摩尔百分比[C(ar)%,简称芳碳率]测定的系统研究,建立了C(ar)%与样品浓度Conc.、弛豫试剂浓度[Cr(acac)_3]和循环延迟D13个参数之间的数学模型,据此模型得到了优化的参数设置:Conc.为180mg/mL,[Cr(acac)_3]为12 mg/mL,D1为10.5 s.按此设置进行了8组验证实验,其结果重现性较好,相对标准偏差(relative standard deviation,RSD)为0.61%;准确性较高,达到99.0%~100.6%.该方法也可用于其它分析测试方法的系统研究,且实验结果对现行油品芳碳率测定标准中相关参数,如[Cr(acac)_3]和D1的设置能够提出补充性建议.展开更多
基金Shanghai Leading Academic Discipline Project,China(No.B602)
文摘Design for six sigma(DFSS) is a powerful approach of designing products,processes,and services with the objective of meeting the needs of customers in a cost-effective manner.DFSS activities are classified into four major phases viz.identify,design,optimize,and validate(IDOV).And an adaptive design for six sigma(ADFSS) incorporating the traits of artificial intelligence and statistical techniques is presented.In the identify phase of the ADFSS,fuzzy relation measures between customer attributes(CAs) and engineering characteristics(ECs) as well as fuzzy correlation measures among ECs are determined with the aid of two fuzzy logic controllers(FLCs).These two measures are then used to establish the cumulative impact factor for ECs.In the next phase(i.e.design phase),a transfer function is developed with the aid of robust multiple nonlinear regression analysis.Furthermore,this transfer function is optimized with the simulated annealing(SA) algorithm in the optimize phase.In the validate phase,t-test is conducted for the validation of the design resulted in earlier phase.Finally,a case study of a hypothetical writing instrument is simulated to test the efficacy of the proposed ADFSS.
文摘为提升产品质量,以风噪问题为切入点,利用六西格玛设计(Design For Six Sigma,DFSS)理论和工具,对某款车型建立风噪问题稳健评估模型,根据风洞试验对风噪问题进行分析和研究,建立稳健性设计模型,并提出针对性的控制措施,最终达到车内风噪的目标水平。研究表明,尾门至顶盖之间的车身间隙对车内风噪影响贡献量最大,同时经稳健设计后的尾门至顶盖密封结构可降低该车型后排车内噪声。
文摘利用六西格玛设计(design for six Sigma,DFSS)方法,通过定量核磁共振碳谱(quantitative carbon nuclear magnetic resonance spectroscopy,^(13)C qNMR)对由11种已知烃类化合物组成的模型油品进行了芳香碳摩尔百分比[C(ar)%,简称芳碳率]测定的系统研究,建立了C(ar)%与样品浓度Conc.、弛豫试剂浓度[Cr(acac)_3]和循环延迟D13个参数之间的数学模型,据此模型得到了优化的参数设置:Conc.为180mg/mL,[Cr(acac)_3]为12 mg/mL,D1为10.5 s.按此设置进行了8组验证实验,其结果重现性较好,相对标准偏差(relative standard deviation,RSD)为0.61%;准确性较高,达到99.0%~100.6%.该方法也可用于其它分析测试方法的系统研究,且实验结果对现行油品芳碳率测定标准中相关参数,如[Cr(acac)_3]和D1的设置能够提出补充性建议.
