基于熵和改进TOPSIS集结的复杂产品工程变更方案优选技术
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摘要
复杂产品工程变更方案优选是复杂产品设计制造过程中的一个关键环节。针对复杂产品工程变更的多方案优选问题,综合考虑制约工程变更的多因素、设计备选方案的多主体、评价指标的多准则以及评价方法的适用性等主、客观影响因素,构建包括质量、财务和工期等6个大项15个子项的两层优选指标体系,提出熵权法和改进的逼近理想解排序法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)集结的组合优选技术。最后以大型船舶工程变更方案优选为例,验证优选技术的有效性。研究结果可为复杂产品工程变更方案优选提供科学的决策支持依据,以大幅提升工程变更的经济性、效率和质量。
Scheme optimization of complex product engineering change is a key link in its design and manufacturing process.Aimed at scheme optimization problem for complex product engineering change,comprehensively considers subjective and objective factors with multiple factors of controlling engineering change,multiple subjects of designing alternatives,multiple criteria of evaluating indicators and applicability of evaluation method,then construct the two levels optimization index system of six items and fifteen sub items,including quality,finance,time limit and so on,and establish combinatorial optimization model based on entropy weight and improved TOPSIS aggregation. Finally,take scheme optimization of the large-scale ship engineering change as an example,to validate effectiveness for optimization technology. The research results can provide scientific decision support for the optimal scheme of complex product engineering change,to substantially increase the economic,efficiency and quality of engineering change.
Scheme optimization of complex product engineering change is a key link in its design and manufacturing process.Aimed at scheme optimization problem for complex product engineering change,comprehensively considers subjective and objective factors with multiple factors of controlling engineering change,multiple subjects of designing alternatives,multiple criteria of evaluating indicators and applicability of evaluation method,then construct the two levels optimization index system of six items and fifteen sub items,including quality,finance,time limit and so on,and establish combinatorial optimization model based on entropy weight and improved TOPSIS aggregation. Finally,take scheme optimization of the large-scale ship engineering change as an example,to validate effectiveness for optimization technology. The research results can provide scientific decision support for the optimal scheme of complex product engineering change,to substantially increase the economic,efficiency and quality of engineering change.
引文
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[11]田新广,邱志明,段洣毅.基于多元风险概率模型的舰炮武器研制进度风险分析[J].兵工学报,2008,29(5):521-525.
[12]邱万国,徐国英,邢俊文.进度风险的随机网络建模与仿真分析[J].装甲兵工程学院学报,2005,19(1):48-51.
[13]SIMON H.The sciences of the artificial[M].[S.l.]:M.I.T.Press,1969.
[14]卢国祥,李冰清.基于对称交互熵的多属性决策排序法[J].数学杂志,2016,36(6):1253-1260.
[15]史军军,薛磊,毕大平.基于对称交互熵的ISAR干扰效果评估方法[J].系统工程与电子技术,2010,32(1):119-121.
[16]刘卫东,应婧.基于产品寿命周期的质量成本模型及其分析[J].管理评论,2011,23(2):117-121.
[2]TUZKAYA G,GLSN B,KAHRAMAN C,et al.An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application[J].Expert Systems with Applications,2010,37(4):2853-2863.
[3]方辉,谭建荣,殷国富,等.基于改进不确定语言多属性决策的设计方案评价[J].计算机集成制造系统,2009,15(7):1257-1261.
[4]杨涛,杨育,薛承梦,等.考虑客户需求偏好的产品创新设计方案多属性决策评价[J].计算机集成制造系统,2015,21(2):417-426.
[5]萨日娜,张树有.复杂产品设计方案联合变权群决策方法[J].浙江大学学报(工学版),2013,47(4):711-719.
[6]ZEITOUN A A.Early warning signs of project changes[R].Austin,Tex:Construction Industry Institute,Source Document,CII,1992.
[7]宫中伟,莫蓉,杨海成,等.基于产品开发网络Hub节点的工程变更[J].计算机集成制造系统,2012,18(1):40-46.
[8]孙国权.基于虚拟施工技术的工程变更评价模型及控制[D].哈尔滨:哈尔滨工业大学,2007.
[9]向东,段广洪,汪劲松,等.基于产品系统的产品绿色度综合评价[J].计算机集成制造系统,2001,7(8):12-16.
[10]孙良峰,裘乐淼,张树有,等.基于泛逻辑推理的复杂产品融合绿色性分析的设计方案评价技术[J].计算机集成制造系统,2013,19(8):1990-1999.
[11]田新广,邱志明,段洣毅.基于多元风险概率模型的舰炮武器研制进度风险分析[J].兵工学报,2008,29(5):521-525.
[12]邱万国,徐国英,邢俊文.进度风险的随机网络建模与仿真分析[J].装甲兵工程学院学报,2005,19(1):48-51.
[13]SIMON H.The sciences of the artificial[M].[S.l.]:M.I.T.Press,1969.
[14]卢国祥,李冰清.基于对称交互熵的多属性决策排序法[J].数学杂志,2016,36(6):1253-1260.
[15]史军军,薛磊,毕大平.基于对称交互熵的ISAR干扰效果评估方法[J].系统工程与电子技术,2010,32(1):119-121.
[16]刘卫东,应婧.基于产品寿命周期的质量成本模型及其分析[J].管理评论,2011,23(2):117-121.