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An integrated productmodularity method based on transfer network of failure mode-recycling decision for remanufacturing

机译:一种基于转移网络的综合产量方法,用于再制造的失效模式 - 回收决策

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摘要

The product modularity has an important influence on the whole product life cycle. In order to improve product recovery of a used product at the end-of-life stage, it is imperative to develop modular product architecture with remanufacturing strategies consideration. In this paper, an integrated modular design method for green remanufacturing considering hierarchical structure of the product and fuzzy logic is proposed, and the modularity of the architecture from the viewpoint of product remanufacturing is assessed. The transfer network of failure mode-recycling decision using BP neural network optimized by adaptive genetic algorithm is built. Design structure matrix is employed to represent the relationships between components, and the hierarchical structure of product modularity with functionality, physical connection as well as geometric position is constructed. The failure modes of used components are analyzed, and four modular drivers with remanufacturing strategies consideration, namely, recycling mode, component lifetime, material compatibility, and remanufacturing processability, are introduced to reconstruct the modular product architecture for remanufacturing. Finally, an example on the grab is provided to illustrate the proposed method for product modularity taking into account function, structure as well as remanufacturing characteristics.
机译:产品模块对整个产品生命周期具有重要影响。为了提高寿命阶段的二手产品的产品回收,必须采用再制造策略考虑,开发模块化产品架构。本文提出了一种考虑产品和模糊逻辑的层次结构的绿色再生形式的集成模块化设计方法,评估了从产品再制造的角度的架构模块化。建立了使用自适应遗传算法优化的BP神经网络的故障模式回收决策的转移网络。设计结构矩阵用于表示组件之间的关系,以及具有功能,物理连接以及几何位置的产品模块化的层次结构。分析了二手组件的故障模式,并引入了具有再制造策略考虑的四种模块化驱动器,即回收模式,组件寿命,材料兼容性和再制造可加工性,以重建模块化产品架构进行再制造。最后,提供了在抓获的示例以说明考虑功能,结构以及再制造特性的产品模块化的所提出的方法。

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