工厂模拟用于Kimbugak深过程的机器人自动化系统
Tae Hyong Kim1, Gu Byoung2, Ki Hyun Kwon1
1Digital Factory Project Group, Korea Food Research Institute, 245, Nongsaengmyeong-ro, Iseo-myeon, Wanju-gun, Jeollabuk-Do 55365 Republic of Korea.
Food science and biotechnology
|February 13, 2025
概括
机器人自动化显著提高了金布加的生产. 数据驱动的工厂模拟提高了21%的吞吐量,减少了劳动力,优化了这款韩国零食的油炸过程.
科学领域:
- 食品加工自动化 食品加工自动化
- 制造业中的机器人技术
- 工业工程 工业工程是指工业工程.
背景情况:
- 手动炸金花是劳动密集型的,可能缺乏一致性.
- 为传统食品产品优化生产流程带来了独特的挑战.
研究的目的:
- 开发一个数据驱动的工厂模拟,用于Kimbugak油炸机器人自动化.
- 分析机器人自动化对关键绩效指标 (如产量和劳动力利用率) 的影响.
主要方法:
- 分析Kimbugak油炸机的手动工作流程.
- 实施了选择性合规组装机器人手臂和协作机器人.
- 使用Tecnomatix植物模拟软件开发过程模型.
主要成果:
- 机器人自动化提高了21%的生产吞吐量,处理了1380个金布加.
- 与手工方法相比,劳动力需求减少,工人利用率降至10%,工艺利用率达到70%.
结论:
- 数据驱动的植物模拟有效地模拟了Kimbugak油炸机器人自动化.
- 实施机器人解决方案显著提高了生产效率,并减少了食品制造业的劳动力依赖.
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