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An adaptive BPSO algorithm for multi-skilled workers assignment problem in aircraft assembly lines

机译：飞机装配线中多技能工人分配问题的自适应BPSO算法

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摘要

Purpose - The purpose of this paper is to investigate the multi-skilled workers assignment problem in complex assembly systems such as aircraft assembly lines. An adaptive binary particle swarm optimization (A-BPSO) algorithm is proposed, which is used to balance the workload of both assembly stations and processes and to minimize the human cost. Design/methodology/approach - Firstly, a cycle time model considering the cooperation of multi-skilled workers is constructed. This model provides a quantitative description of the relationship between the cycle time and multi-skilled workers by means of revising the standard learning curve with the "Partition-And-Accumulate" method. Then, to improve the accuracy and stability of the current heuristic algorithms, an A-BPSO algorithm that suits for the discrete optimization problems is proposed to assign multi-skilled workers to assembly stations and processes based on modified sigmoid limiting function. Findings - The proposed method has been successfully applied to a practical case, and the result justifies its advantage as well as adaptability to both theory and engineering application. Originality/value - A novel cycle time model considering cooperation of multi-skilled workers is constructed so that the calculation results of cycle time are more accurate and closer to reality. An A-BPSO algorithm is proposed to improve the stability and convergence in dealing with the problems with higher dimensional search space. This research can be used by the project managers and dispatchers on assembly field.
机译：目的-本文的目的是研究飞机装配线等复杂装配系统中的多技能工人分配问题。提出了一种自适应二进制粒子群算法（A-BPSO），用于平衡装配工位和工序的工作量，并最大程度地降低了人工成本。设计/方法/方法-首先，构建考虑多技能工人合作的周期时间模型。该模型通过使用“分配和累积”方法修改标准学习曲线，定量描述了循环时间与多技能工人之间的关系。然后，为了提高当前启发式算法的准确性和稳定性，提出了一种适合离散优化问题的A-BPSO算法，基于改进的S形极限函数，将多技能工人分配给装配工位和工序。发现-所提出的方法已成功地应用于实际案例，结果证明了其优势以及对理论和工程应用的适应性。独创性/价值-构建一个考虑到多技能工人合作的新型周期时间模型，以使周期时间的计算结果更准确，更接近实际。为了解决高维搜索空间问题，提出了一种A-BPSO算法，以提高算法的稳定性和收敛性。项目经理和调度员可以在组装领域进行这项研究。

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  • 来源
    《Assembly Automation》 |2015年第4期|317-328|共12页
  • 作者

    Bo Xin; Yuan Li; Jianfeng Yu; Jie Zhang;

  • 作者单位

    School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China;

    School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China;

    School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China;

    School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, 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

    Lean manufacturing; Assembly line design; Multi-skilled; Worker assignment; Aircraft assembly line; A-BPSO;

    机译：精益生产;流水线设计;多才多艺;工人任务;飞机组装线;BPSO;

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