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作 者:PENG Jian’gang XIA Guang SUN Baoqun WANG Shaojie
机构地区:[1]Intelligent Manufacturing Institute,Hefei University of Technology,Hefei 230009,China [2]Institute of Automotive Engineering,Hefei University of Technology,Hefei 230009,China
出 处:《Journal of Systems Engineering and Electronics》2023年第4期966-980,共15页系统工程与电子技术(英文版)
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)。
摘 要: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.
关 键 词:DECISION-MAKING quality function deployment(QFD) UNCERTAINTY fuzzy set
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