分析生产系统多次干扰的工人的弹性表现
Naruki Yasue1, Ehsan Mahmoodi2, Enrique Ruiz Zúñiga2
1Department of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 6158540, Japan.
Applied ergonomics
|September 29, 2024
概括
工业5.0研究表明,多个工人的干扰显著影响生产绩效. 熟练的工人表现出更大的性,即使在具有挑战性的条件下也保持更高的绩效水平.
科学领域:
- 工业工程 工业工程 工业工程
- 人类因素工程 人类因素工程
- 制造系统制造系统的制造
背景情况:
- 工业5.0强调以人为中心的制造业,增加了对工人绩效分析的兴趣.
- 现有的研究涉及疲劳和技能等个体因素,但多种干扰的累积影响仍然不清楚.
研究的目的:
- 通过使用功能共振分析方法 (FRAM) 调查多重干扰对工人表现的影响.
- 探索工人与弹性相关的技能如何影响在组合干扰下的表现.
主要方法:
- 运用功能共振分析方法 (FRAM) 来建模工人的表现.
- 定性数据收集和半定量模拟研究.
- 在发动机测试和维修过程中分析了4,094个场景.
主要成果:
- 共同绩效条件 (CPC) 的复合变异性增加显著阻碍了工作绩效恢复.
- 确定了对业绩产生严重负面影响的特定CPC.
- 一个熟练工人的FRAM模型在许多场景中显示了持续更高的绩效.
结论:
- 该研究提供了一种新的方法来理解生产系统中复杂的干扰.
- 通过考虑工人的弹性和多重压力因素,研究结果为有效和安全地管理制造系统提供了见解.
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