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在医院的自主移动机器人的随机调度
Lulu Cheng1, Ning Zhao1, Mengge Yuan1
1Faculty of Science, Kunming University of Science and Technology, Kunming, Yunnan, China.
PloS one
|October 5, 2023
概括
这项研究优化了医院机器人调度,以削减成本. 一个改进的 tabu 搜索算法有效地规划了自动移动机器人 (AMR) 的路线,减少了延迟和改善了资源使用.
科学领域:
- 运营研究 运营研究
- 医疗保健管理的管理
- 机器人技术 机器人技术 机器人技术
背景情况:
- 医院物流面临着难以预测的机器人旅行和服务时间的挑战.
- 自主移动机器人 (AMR) 的高效调度对于医疗保健运营至关重要.
研究的目的:
- 开发一个有效的算法来安排医院的AMR.
- 尽量减少每日医院总费用,包括固定,罚款和运输费用.
主要方法:
- 在随机环境中确定了AMR调度的关键特性.
- 开发并应用了一种改进的标题搜索 (I-TS) 算法,用于路线优化.
主要成果:
- 在生成高质量解决方案方面,I-TS算法显著优于现有方法.
- 在实验评估中证明了拟议的算法的有效性.
结论:
- 合理的AMR调度可以提高医疗服务提供和资源利用率.
- 优化AMR操作导致整体医院成本降低.
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