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Optional classification for reassembly methods with different precision remanufactured parts

机译：带有不同精密再制造零件的组装方法的可选分类

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摘要

Purpose - The purpose of this study was to research how the reassembly (remanufacturing assembly) achieves a quality that is not lower than original production with different precision remanufactured parts based on the integration of mechanics, mathematics (measurement uncertainty) and management (optional classification). Remanufactured product quality is the soul of the remanufacturing project. Design/methodology/approach - First, this paper studies the recycled parts features and reassembly features. Then, we build the mathematical sub-model with remanufactured parts and dimensional precision, which is proven that optional classification can effectively improve the reassembly accuracy mathematically. The optimization model of optional classification for reassembly is proposed under the constraint of a dimensional chain, and the solutions are studied based on particle swarm optimization. Finally, this method is applied in a remanufacturing enterprise and achieves good results. Findings - The method can reduce the cost of quality loss and improve the quality of remanufactured products. Originality/value - It provides a new solution and idea for reassembly with different precision remanufactured parts and promotes the healthy development of reverse logistics with a high level of customer satisfaction. This method can maximize the use of different levels of quality remanufactured parts and improve reassembly accuracy by mathematical proofs and examples.
机译：目的-这项研究的目的是基于机械，数学（测量不确定度）和管理（可选分类）的集成，研究重组（再制造组件）如何通过不同的精密再制造零件达到不低于原始生产的质量。再制造的产品质量是再制造项目的灵魂。设计/方法/方法-首先，本文研究了回收零件的特征和重新组装的特征。然后，我们建立了具有再制造零件和尺寸精度的数学子模型，这证明了可选分类可以有效地提高数学上的重新组装精度。在尺寸链的约束下，提出了用于装配的可选分类的优化模型，并基于粒子群算法研究了求解方法。最终，该方法在再制造企业中得到了应用，并取得了良好的效果。调查结果-该方法可以减少质量损失的成本并提高再制造产品的质量。原创性/价值-它为使用不同的精密再制造零件进行重新组装提供了新的解决方案和想法，并以较高的客户满意度促进了逆向物流的健康发展。这种方法可以最大程度地利用不同质量的再制造零件，并通过数学证明和实例提高重新组装的准确性。

著录项

  • 来源
    《Assembly Automation》 |2014年第4期|315-322|共8页
  • 作者

    Mingzhou Liu; Conghu Liu; Qinghua Zhu;

  • 作者单位

    School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China;

    School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China;

    College of Business Administration, Dalian University of Technology, Dalian, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Assembly systems; Quality; Optimal control;

    机译：组装系统;质量;最佳控制;

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