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Updated: Jan 29, 2026

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工作车间的新框架 集成调度和车辆路径规划问题
Ruiqi Li1, Jianlin Mao2, Xing Wu1
1Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650032, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
这项研究引入了灵活制造的新框架,整合了工作安排,机器人任务分配和无碰撞路径规划. 该方法通过优化机器人移动和任务顺序来提高生产效率,减少总体完成时间.
科学领域:
- 制造业 工程 制造工程
- 机器人技术 机器人技术 机器人技术
- 运营研究 运营研究
背景情况:
- 传统制造业在灵活的需求方面扎,比如小批量.
- 现有工作室调度问题与运输 (JSP-T) 往往忽视机器人路径规划和避免碰撞.
- 灵活的制造需要集成的解决方案来安排,任务分配和路径规划.
研究的目的:
- 为研讨会安排,物料处理机器人任务分配和无冲突路径规划制定统一的框架.
- 通过整合处理时间和机器人路径,尽量减少最大完成时间 (Makespan).
- 提高灵活制造业中对职位变化的适应能力.
主要方法:
- 一个扩展的JSP-T问题模型,包含处理时间和机器人路径.
- 一个改进的深度Q网络 (DQN),用于动态调度.
- 基于优先级的搜索 (PBS) 算法用于无冲突路径规划.
主要成果:
- 与PPO相比,拟议的调度算法使Makespan提高了9.7%,比PPO.
- 该PBS算法成功地为多个机器人生成了优化,无冲突的路径.
- 综合框架在Makespan和路径优化方面表现得更好.
结论:
- 新的框架有效地整合了调度,任务分配和灵活制造的路径规划.
- 该方法提高了生产效率和在动态车间环境中的适应性.
- 这种方法为复杂的机器人调度和导航挑战提供了强大的解决方案.
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