基于云模型的QFD中工程特性重要度确定方法
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摘要
针对质量功能配置(quality function deployment,QFD)评价信息中的模糊性和随机性问题,提出一种基于云模型的QFD中工程特性重要度确定方法。采用云模型处理语义评价信息,并基于正向云发生器算法提出云滴贡献值算法,用以将云模型间接转换成精确数值,进而计算工程特性重要度。根据技术竞争性评估矩阵,基于最大偏差法的思想构建数学模型确定工程特性重要度修正因子,进而确定工程特性的最终重要度。最后以某企业的一款装载机工程特性重要度计算为例,验证了所提方法的有效性。
Aiming at the fuzziness and randomness problem existing in the evaluation information of quality function deployment(QFD),this paper proposed a method of determining the engineering characteristics importance degree for QFD.It employed cloud model to process the semantic evaluation information.Based on the forward cloud generator algorithm,this paper developed a cloud drop contribution value algorithm to convert cloud model into precise value indirectly and calculate the engineering characteristics importance degree.According to the technical competitive evaluation matrix,this paper built a mathematical model based on the maximal deviation approach to determine the modifying factors of engineering characteristics importance degree.Then this paper calculated the final importance degree of engineering characteristics according to the modifying factors.Finally,it gave an example of computing the importance degree of engineering characteristics of a loader to demonstrate the effectiveness of the proposed approach.
Aiming at the fuzziness and randomness problem existing in the evaluation information of quality function deployment(QFD),this paper proposed a method of determining the engineering characteristics importance degree for QFD.It employed cloud model to process the semantic evaluation information.Based on the forward cloud generator algorithm,this paper developed a cloud drop contribution value algorithm to convert cloud model into precise value indirectly and calculate the engineering characteristics importance degree.According to the technical competitive evaluation matrix,this paper built a mathematical model based on the maximal deviation approach to determine the modifying factors of engineering characteristics importance degree.Then this paper calculated the final importance degree of engineering characteristics according to the modifying factors.Finally,it gave an example of computing the importance degree of engineering characteristics of a loader to demonstrate the effectiveness of the proposed approach.
引文
[1]Carnevalli J A,Miguel P C.Review,analysis and classification of the literature on QFD—types of research,difficulties and benefits[J].International Journal of Production Economics,2008,114(2):737-754.
[2]李延来,雒兴刚,姚建明,等.基于竞争性评价的质量屋中工程特性最终重要度的确定方法[J].中国机械工程,2009,20(19):2362-2367,2386.
[3]郭茜,李延来,蒲云,等.基于群体语义信息的顾客需求重要度确定方法[J].计算机集成制造系统,2012,18(4):840-848.
[4]王增强,李延来,蒲云.基于混合语言变量的工程特性优先度确定方法[J].中国机械工程,2013,24(20):2797-2803.
[5]耿秀丽,徐士东,叶春明.顾客需求驱动的产品服务系统模块选配方法[J].计算机集成制造系统,2016,22(1):55-61.
[6]王增强,李延来,蒲云.产品规划中工程特性的竞争优先度分析[J].计算机集成制造系统,2013,19(10):2562-2571.
[7]李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):16-18.
[8]周勇,顾聪越,程春田.基于云模型的可信性评估模型[J].计算机应用研究,2012,29(2):597-600,605.
[9]崔铁军,马云东.基于AHP-云模型的巷道冒顶风险评价[J].计算机应用研究,2016,33(10):2973-2976.
[10]徐士东,耿秀丽.云模型与TOPSIS相结合的多属性群决策方法[J].计算机应用研究,2017,34(10):2964-2967.
[11]王坚强,杨恶恶.基于蒙特卡罗模拟的直觉正态云多准则群决策方法[J].系统工程理论与实践,2013,33(11):2859-2865.
[12]李延来,唐加福,姚建明,等.质量屋中工程特性改进重要度的确定方法[J].计算机集成制造系统,2007,13(7):1381-1387,1394.
[13]Chen L H,Ko W C.Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept[J].European Journal of Operational Research,2010,201(2):619-632.
[14]Chan L K,Wu Minglu.A systematic approach to quality function deployment with a full illustrative example[J].Omega,2005,33(2):119-139.
[15]Wang Jianqiang,Peng Lu,Zhang Hongyu,et al.Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information[J].Information Sciences,2014,274(8):177-191.
[16]李德毅,刘常昱.论正态云模型的普适性[J].中国工程科学,2004,6(8):28-34.
[17]王洪利,冯玉强.基于云模型具有语言评价信息的多属性群决策研究[J].控制与决策,2005,20(6):679-681,685.
[18]Li Yanlai,Tang Jiafu,Luo Xinggang.An ECI-based methodology for determining the final importance ratings of customer requirements in MP product improvement[J].Expert Systems with Applications,2010,37(9):6240-6250.
[19]王坚强,刘淘.基于综合云的不确定语言多准则群决策方法[J].控制与决策,2012,27(8):1185-1190.
[2]李延来,雒兴刚,姚建明,等.基于竞争性评价的质量屋中工程特性最终重要度的确定方法[J].中国机械工程,2009,20(19):2362-2367,2386.
[3]郭茜,李延来,蒲云,等.基于群体语义信息的顾客需求重要度确定方法[J].计算机集成制造系统,2012,18(4):840-848.
[4]王增强,李延来,蒲云.基于混合语言变量的工程特性优先度确定方法[J].中国机械工程,2013,24(20):2797-2803.
[5]耿秀丽,徐士东,叶春明.顾客需求驱动的产品服务系统模块选配方法[J].计算机集成制造系统,2016,22(1):55-61.
[6]王增强,李延来,蒲云.产品规划中工程特性的竞争优先度分析[J].计算机集成制造系统,2013,19(10):2562-2571.
[7]李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):16-18.
[8]周勇,顾聪越,程春田.基于云模型的可信性评估模型[J].计算机应用研究,2012,29(2):597-600,605.
[9]崔铁军,马云东.基于AHP-云模型的巷道冒顶风险评价[J].计算机应用研究,2016,33(10):2973-2976.
[10]徐士东,耿秀丽.云模型与TOPSIS相结合的多属性群决策方法[J].计算机应用研究,2017,34(10):2964-2967.
[11]王坚强,杨恶恶.基于蒙特卡罗模拟的直觉正态云多准则群决策方法[J].系统工程理论与实践,2013,33(11):2859-2865.
[12]李延来,唐加福,姚建明,等.质量屋中工程特性改进重要度的确定方法[J].计算机集成制造系统,2007,13(7):1381-1387,1394.
[13]Chen L H,Ko W C.Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept[J].European Journal of Operational Research,2010,201(2):619-632.
[14]Chan L K,Wu Minglu.A systematic approach to quality function deployment with a full illustrative example[J].Omega,2005,33(2):119-139.
[15]Wang Jianqiang,Peng Lu,Zhang Hongyu,et al.Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information[J].Information Sciences,2014,274(8):177-191.
[16]李德毅,刘常昱.论正态云模型的普适性[J].中国工程科学,2004,6(8):28-34.
[17]王洪利,冯玉强.基于云模型具有语言评价信息的多属性群决策研究[J].控制与决策,2005,20(6):679-681,685.
[18]Li Yanlai,Tang Jiafu,Luo Xinggang.An ECI-based methodology for determining the final importance ratings of customer requirements in MP product improvement[J].Expert Systems with Applications,2010,37(9):6240-6250.
[19]王坚强,刘淘.基于综合云的不确定语言多准则群决策方法[J].控制与决策,2012,27(8):1185-1190.