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Optimization of wire harness assembly using human-robot-collaboration

机译:利用人机协作优化线束组装

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Wire harness assembly has been predominantly carried out manually so far since full automation has proved to be difficult for the manufacturing of flexible material with many variants. For productivity reasons, human-robot-collaboration (HRC) facilitates new optimization potential for manual systems by encompassing direct joint work of a human operator and a robot, combining their respective strengths at best. To identify HRC potential in wire harness assembly, we follow a cost-effective, simplistic, and easily adaptable approach by introducing an assessment system for analyzing the assembly process with respect to the capability-oriented task allocation between operator and robot. In doing so, we use multiple criteria combined with weighting factors arisen from the pairwise comparison. Necessary calculations are implemented in a Microsoft Excel file. On this basis, HRC-based application scenarios for efficient manufacturing are conceptualized, focusing mainly on pre-assembly and module-assembly. Concerning final assembly, only qualitative statements are made, as the increased complexity of these workplaces requires more extensive examination. Finally, the developed methodology and some of the scenarios are evaluated. We demonstrate that the efficiency of the widely manual production of wire harnesses can be enhanced by using HRC-enabled robots.
机译:迄今为止,由于完全自动化难以制造具有许多变体的柔性材料难以制造柔性材料,因此主要是手动进行线束组件。出于生产率的原因,人机协作(HRC)通过包围人类运营商和机器人的直接工作,促进了手动系统的新优化潜力,以最佳结合各自的优势。为了识别线束组件中的HRC电位,我们通过引入评估系统来遵循具有成本效益,简单,更容易适应的方法,用于分析操作员和机器人之间的能力导向的任务分配。在这样做时,我们使用多个标准与重对比较中出现的加权因子相结合。必要的计算在Microsoft Excel文件中实现。在此基础上,高效制造的基于HRC的应用方案是概念化的,主要集中在装配预组装和模块组件上。关于最终组装,只有定性陈述,因为这些工作场所的复杂性增加需要更广泛的考试。最后,评估开发的方法和一些方案。我们证明,通过使用支持HRC的机器人,可以提高广泛手动生产线束的效率。

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