In the implementation of quality function deployment （QFD）, the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that sh...In the implementation of quality function deployment （QFD）, the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that should trade off, and optimize all kinds of conflicts and constraints. A fuzzy linear programming model （FLP） is proposed. On the basis of the inherent fuzziness of QFD system, triangular fuzzy numbers are used to represent all the relationships and correlations, and then, the functional relationships between the customer needs and engineering characteristics and the functional correlations among the engineering characteristics are determined with the information in the house of quality （HoQ） fully used. The fuzzy linear programming （FLP） model aims to find the optimal target values of the engineering characteristics to maximize the customer satisfaction. Finally, the proposed method is illustrated by a numerical example.展开更多
This paper presents an operational framework of unstructured decision-making approach involving quality function deployment(QFD)in an uncertain linguistic context.Firstly,QFD is extended to the multi-enterprise paradi...This paper presents an operational framework of unstructured decision-making approach involving quality function deployment(QFD)in an uncertain linguistic context.Firstly,QFD is extended to the multi-enterprise paradigm in a real-world manufacturing environment.Secondly,hesitant fuzzy linguistic term sets(HFLTSs),which facilitate the management and handling of information equivocality,are designed to construct a house of quality(HoQ)in the product planning process.The technique of computing with words is applied to bridge the gap between mechanisms of the human brain and machine processes with fuzzy linguistic term sets.Thirdly,a multi-enterprise QFD pattern is formulated as an unstructured decision-making problem for alternative infrastructure project selection in a manufacturing organization.The inter-relationships of cooperative partners are directly matched with a back propagation neural network(BPNN)to construct the multi-enterprise manufacturing network.The resilience of the manufacturing organization is considered by formulating an outranking method on the basis of HFLTSs to decide on infrastructure project alternatives.Finally,a real-world example,namely,the prototype manufacturing of an automatic transmission for a vehicle,is provided to illustrate the effectiveness of the proposed decision-making approach.展开更多
To address the fuzziness and variability in determining customer demand importance,a dynamic analysis method based on intuitionistic fuzzy numbers is proposed.First,selected customers use intuitionistic fuzzy numbers ...To address the fuzziness and variability in determining customer demand importance,a dynamic analysis method based on intuitionistic fuzzy numbers is proposed.First,selected customers use intuitionistic fuzzy numbers to represent the importance of each demand.Then,the preference information is aggregated using customer weights and time period weights through the intuitionistic fuzzy ordered weighted average operator,yielding a dynamic vector of the subjective importance of the demand index.Finally,the feasibility of the proposed method is demonstrated through an application example of a vibrating sorting screen.展开更多
Quality function deployment(QFD)is an effective method that helps companies analyze customer requirements(CRs).These CRs are then turned into product or service characteristics,which are translated to other attributes...Quality function deployment(QFD)is an effective method that helps companies analyze customer requirements(CRs).These CRs are then turned into product or service characteristics,which are translated to other attributes.With the QFD method,companies could design or improve the quality of products or services close to CRs.To increase the effectiveness of QFD,we propose an improved method based on Pythagorean fuzzy sets(PFSs).We apply an extended method to obtain the group consensus evaluation matrix.We then use a combined weight determining method to integrate former weights to objective weights derived from the evaluation matrix.To determine the exact score of each PFS in the evaluation matrix,we develop an improved score function.Lastly,we apply the proposed method to a case study on assembly robot design evaluation.展开更多
In this paper, based on the Quality Function Deployment ( QFD) method, theFuzzy Quality Function Deployment (FQFD) theory and the step-by-step hierarchy structure in aircrafttop decision design are studied. The fuzzy ...In this paper, based on the Quality Function Deployment ( QFD) method, theFuzzy Quality Function Deployment (FQFD) theory and the step-by-step hierarchy structure in aircrafttop decision design are studied. The fuzzy model for computing competitive factor in evaluation ispresented. The decision of key technologies for improving the performance and affordability of afixed-wing aircraft is studied using the model, and the result proves the feasibility of this model.展开更多
针对部分机电产品在概念设计阶段未综合考虑客户和环境的需求,进而影响产品详细设计的问题,提出了一种基于功能—结构—客户和环境需求(function‒structure‒requirements of customer and environment,FSRce)模型的机电产品绿色概念设...针对部分机电产品在概念设计阶段未综合考虑客户和环境的需求,进而影响产品详细设计的问题,提出了一种基于功能—结构—客户和环境需求(function‒structure‒requirements of customer and environment,FSRce)模型的机电产品绿色概念设计方案生成方法。首先,从案例库中选择合适的功能和结构对现有产品设计树中的节点进行扩展和关联;同时通过数据挖掘、专家打分等方法获得产品的客户和环境需求重要度,以构建基于FSRce模型的产品概念设计空间。然后,先利用加权区间粗糙数法对客户和环境需求重要度进行分析,得到需求相对重要度,再运用模糊质量功能展开(fuzzy quality function deployment,FQFD)将需求相对重要度转化为产品的工程特性权重。最后,利用物元理论构建基于工程特性的产品物元域和各结构物元集,并结合工程特性权重得到各结构的满意度分值,通过比较满意度优选得到满足客户和环境需求的产品概念设计方案。以某小型工业吹风机为例,基于上述方法对其概念设计方案进行优化。相比于原始方案,优化后的吹风机在能源消耗上降低了15.38%,在碳排放上降低了15.32%,且客户满意度提高了44.66%,由此验证了所提出方法的可行性与有效性。所提出的方法为机电产品概念设计方案的生成提供了一种新思路,能更好地辅助设计人员实现对机电产品的绿色设计。展开更多
飞机设计是一项复杂的大系统工程,涉及到多学科交叉和多技术领域。飞行器顶层/详细设计技术是现代各国发展先进航空航天器系统所采用的综合技术的重要内容,同时是未来飞行器设计研究的发展趋势。在常规质量功能配置(Quality function de...飞机设计是一项复杂的大系统工程,涉及到多学科交叉和多技术领域。飞行器顶层/详细设计技术是现代各国发展先进航空航天器系统所采用的综合技术的重要内容,同时是未来飞行器设计研究的发展趋势。在常规质量功能配置(Quality function deployment,QFD)方法的基础上,建立了飞机顶层决策设计的模糊质量功能配置(Fuzzy quality function deployment,FQFD)理论和顶层设计的递阶层次结构以及竞争性因子的模糊评判模型,研究了模糊质量功能配置理论在飞机顶层决策设计中的应用问题。最大特色在于提出飞机顶层设计的递阶质量屋结构和将FQFD应用于飞机顶层设计中。具体的应用示例证明了该方法的可行性。该方法在航空航天器的设计中有很强的适用性。展开更多
本研究提出了一个基于模糊质量功能展开(Quality Function Deployment,QFD)的物流服务供应商选择新方法,阐述了集成模糊理论和QFD方法选择现代第三方物流供应商的步骤,研究一大特色是采用SERVQUAL模型选择合适物流服务供应商选择指标体...本研究提出了一个基于模糊质量功能展开(Quality Function Deployment,QFD)的物流服务供应商选择新方法,阐述了集成模糊理论和QFD方法选择现代第三方物流供应商的步骤,研究一大特色是采用SERVQUAL模型选择合适物流服务供应商选择指标体系,通过这个指标体系企业能够快捷准确的选择具有高度顾客满意度的物流供应商。最后,通过算例说明方法的科学性和合理性。展开更多
基金supported by the National Natural Science Foundation of China (70571041).
文摘In the implementation of quality function deployment （QFD）, the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that should trade off, and optimize all kinds of conflicts and constraints. A fuzzy linear programming model （FLP） is proposed. On the basis of the inherent fuzziness of QFD system, triangular fuzzy numbers are used to represent all the relationships and correlations, and then, the functional relationships between the customer needs and engineering characteristics and the functional correlations among the engineering characteristics are determined with the information in the house of quality （HoQ） fully used. The fuzzy linear programming （FLP） model aims to find the optimal target values of the engineering characteristics to maximize the customer satisfaction. Finally, the proposed method is illustrated by a numerical example.
基金supported by the National Key Research and Development Program of China(2016YFD0700605)the National Natural Science Foundation of China(51875151)Hefei Municipal Natural Science Foundation(2021029)。
文摘This paper presents an operational framework of unstructured decision-making approach involving quality function deployment(QFD)in an uncertain linguistic context.Firstly,QFD is extended to the multi-enterprise paradigm in a real-world manufacturing environment.Secondly,hesitant fuzzy linguistic term sets(HFLTSs),which facilitate the management and handling of information equivocality,are designed to construct a house of quality(HoQ)in the product planning process.The technique of computing with words is applied to bridge the gap between mechanisms of the human brain and machine processes with fuzzy linguistic term sets.Thirdly,a multi-enterprise QFD pattern is formulated as an unstructured decision-making problem for alternative infrastructure project selection in a manufacturing organization.The inter-relationships of cooperative partners are directly matched with a back propagation neural network(BPNN)to construct the multi-enterprise manufacturing network.The resilience of the manufacturing organization is considered by formulating an outranking method on the basis of HFLTSs to decide on infrastructure project alternatives.Finally,a real-world example,namely,the prototype manufacturing of an automatic transmission for a vehicle,is provided to illustrate the effectiveness of the proposed decision-making approach.
文摘To address the fuzziness and variability in determining customer demand importance,a dynamic analysis method based on intuitionistic fuzzy numbers is proposed.First,selected customers use intuitionistic fuzzy numbers to represent the importance of each demand.Then,the preference information is aggregated using customer weights and time period weights through the intuitionistic fuzzy ordered weighted average operator,yielding a dynamic vector of the subjective importance of the demand index.Finally,the feasibility of the proposed method is demonstrated through an application example of a vibrating sorting screen.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.71501135,71771156)the 2018 Key Project of the Key Research Institute of Humanities and Social Sciences in Sichuan Province(Nos.Xq18A01,LYC18-02)+2 种基金the Electronic Commerce and Modem Logistics Research Center Program,the Key Research Base of Humanities and Social Science,Sichuan Provincial Education Department(No.DSWL18-2)the Spark Project of Innovation at Sichuan University(No.2018hhs-43)the Scholarship from China Scholarship Council(No.201706240012).
文摘Quality function deployment(QFD)is an effective method that helps companies analyze customer requirements(CRs).These CRs are then turned into product or service characteristics,which are translated to other attributes.With the QFD method,companies could design or improve the quality of products or services close to CRs.To increase the effectiveness of QFD,we propose an improved method based on Pythagorean fuzzy sets(PFSs).We apply an extended method to obtain the group consensus evaluation matrix.We then use a combined weight determining method to integrate former weights to objective weights derived from the evaluation matrix.To determine the exact score of each PFS in the evaluation matrix,we develop an improved score function.Lastly,we apply the proposed method to a case study on assembly robot design evaluation.
基金Funded by the National Natural Science Foundation of China(Grant No.50375071) ,the National Natural Science Foundation of Jiangsu Province Education Department ( Grant No. 2004JD028J) and the Science Foundation of Zhenjiang City( Grant No.2004JD020J)
文摘In this paper, based on the Quality Function Deployment ( QFD) method, theFuzzy Quality Function Deployment (FQFD) theory and the step-by-step hierarchy structure in aircrafttop decision design are studied. The fuzzy model for computing competitive factor in evaluation ispresented. The decision of key technologies for improving the performance and affordability of afixed-wing aircraft is studied using the model, and the result proves the feasibility of this model.
文摘针对部分机电产品在概念设计阶段未综合考虑客户和环境的需求,进而影响产品详细设计的问题,提出了一种基于功能—结构—客户和环境需求(function‒structure‒requirements of customer and environment,FSRce)模型的机电产品绿色概念设计方案生成方法。首先,从案例库中选择合适的功能和结构对现有产品设计树中的节点进行扩展和关联;同时通过数据挖掘、专家打分等方法获得产品的客户和环境需求重要度,以构建基于FSRce模型的产品概念设计空间。然后,先利用加权区间粗糙数法对客户和环境需求重要度进行分析,得到需求相对重要度,再运用模糊质量功能展开(fuzzy quality function deployment,FQFD)将需求相对重要度转化为产品的工程特性权重。最后,利用物元理论构建基于工程特性的产品物元域和各结构物元集,并结合工程特性权重得到各结构的满意度分值,通过比较满意度优选得到满足客户和环境需求的产品概念设计方案。以某小型工业吹风机为例,基于上述方法对其概念设计方案进行优化。相比于原始方案,优化后的吹风机在能源消耗上降低了15.38%,在碳排放上降低了15.32%,且客户满意度提高了44.66%,由此验证了所提出方法的可行性与有效性。所提出的方法为机电产品概念设计方案的生成提供了一种新思路,能更好地辅助设计人员实现对机电产品的绿色设计。
文摘飞机设计是一项复杂的大系统工程,涉及到多学科交叉和多技术领域。飞行器顶层/详细设计技术是现代各国发展先进航空航天器系统所采用的综合技术的重要内容,同时是未来飞行器设计研究的发展趋势。在常规质量功能配置(Quality function deployment,QFD)方法的基础上,建立了飞机顶层决策设计的模糊质量功能配置(Fuzzy quality function deployment,FQFD)理论和顶层设计的递阶层次结构以及竞争性因子的模糊评判模型,研究了模糊质量功能配置理论在飞机顶层决策设计中的应用问题。最大特色在于提出飞机顶层设计的递阶质量屋结构和将FQFD应用于飞机顶层设计中。具体的应用示例证明了该方法的可行性。该方法在航空航天器的设计中有很强的适用性。
文摘本研究提出了一个基于模糊质量功能展开(Quality Function Deployment,QFD)的物流服务供应商选择新方法,阐述了集成模糊理论和QFD方法选择现代第三方物流供应商的步骤,研究一大特色是采用SERVQUAL模型选择合适物流服务供应商选择指标体系,通过这个指标体系企业能够快捷准确的选择具有高度顾客满意度的物流供应商。最后,通过算例说明方法的科学性和合理性。
