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Nonempirical hybrid multi-attribute decision-making method for design for remanufacturing 被引量:4
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作者 Qing-Shan Gong Hua Zhang +3 位作者 Zhi-Gang Jiang Han Wang Yan Wang Xiao-Li Hu 《Advances in Manufacturing》 SCIE CAS CSCD 2019年第4期423-437,共15页
Design for remanufacturing(DfRem)is the process of considering remanufacturing characteristics during product design in order to reduce the number of issues during the remanufacturing stage.This decisionmaking in DfRe... Design for remanufacturing(DfRem)is the process of considering remanufacturing characteristics during product design in order to reduce the number of issues during the remanufacturing stage.This decisionmaking in DfRem is influenced by the designers'subjective preferences owing to a lack of explicitly defined remanufacturing knowledge for designers,which can lead to indecisive design schemes.In order to objectively select the optimal design scheme for remanufacturing,a nonempirical hybrid multi-attribute decision-making method is presented to alleviate the impacts of subjective factors.In this method,design characteristics and demand information are characterized through the matter-element theory.Coupled with design principles,some initial design schemes are proposed.Evaluation criteria are established considering the technical,economic,and environmental factors.The entropy weight and vague set are used to determine the optimal design scheme via a multi-attribute decision・making approach.The design of a bearing assembly machine for remanufacturing is taken as an example to illustrate the practicality and validity of the proposed method.The results revealed that the proposed method was effective in the decision-making of DfRem. 展开更多
关键词 design for remanufacturing(DfRem) remanufacturing Multi-attribute decision-making Vague set Entropy weight
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