为一级1供应商开发汽车机器人接机器的可靠性中心维护
H T O Alaka1, K Mpofu1, B I Ramatsetse2
1Department of Industrial Engineering, Tshwane University of Technology, Pretoria, South Africa.
Frontiers in robotics and AI
|September 25, 2025
概括
在机器人接中实施故障模式和影响分析 (FMEA) 显著减少了昂贵的停机时间. 这种主动维护方法提高了汽车装配线的运营效率和可靠性.
科学领域:
- 工业工程 工业工程 工业工程
- 制造系统制造系统的制造
- 汽车制造业 汽车制造业
背景情况:
- 机器人接对于大批量汽车生产至关重要,一级供应商每天生产超过450台.
- 由于维护问题,设备经常停机,这会破坏生产力,并影响机器人接操作中的客户满意度.
- 机器人接中的意外故障会导致重大财务损失和运营效率下降.
研究的目的:
- 为机器人接行业开发一个以可靠性为中心的维护 (RCM) 方法.
- 为了优化机器运行时间,提高产品质量,减少意外故障造成的财务损失.
- 系统地识别和减轻自动接过程中反复出现的故障.
主要方法:
- 对3年的数据集进行分析,以确定停机原因和成本.
- 应用故障模式和影响分析 (FMEA) 来评估故障模式和根本原因.
- 计算风险优先级数字 (RPNs) 以优先考虑纠正措施以减轻故障.
主要成果:
- 与维护相关的问题占总停机时间的79%.
- 由于停机造成的财务损失在3年内达到R2,281,508.82.
- FMEA应用程序为优先考虑故障和实施有针对性的纠正措施提供了一个结构化的框架.
结论:
- FMEA有效地提高了机器人点操作中的性能和可靠性.
- 建议机器人接行业根据FMEA的调查结果制定主动维护策略.
- 定期监测,预测性维护和员工培训对于最小化机器故障和优化效率至关重要.
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