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 decision-making 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.

中文翻译：

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再制造设计的非经验混合多属性决策方法

再制造设计（DfRem）是在产品设计过程中考虑再制造特征以减少再制造阶段的问题数量的过程。DfRem中的这种决策受到设计师主观偏好的影响，这是由于缺乏为设计师明确定义的再制造知识而导致的优柔寡断的设计方案。为了客观地选择最优的再制造设计方案，提出了一种非经验的混合多属性决策方法，以减轻主观因素的影响。该方法通过物元理论对设计特征和需求信息进行表征。结合设计原则，提出了一些初始设计方案。建立评估标准时要考虑技术，经济和环境因素。熵权和模糊集用于通过多属性决策方法确定最佳设计方案。以再制造轴承装配机的设计为例，说明了该方法的实用性和有效性。结果表明，该方法在DfRem决策中是有效的。