Scheduling-Based Adaptive Operations of Handling Manipulators to Reduce Downtime in Manufacturing Systems

Scheduling-Based Adaptive Operations of Handling Manipulators to Reduce Downtime in Manufacturing Systems
复制标题

基于调度的搬运机械手自适应操作,以减少制造系统的停机时间

DOI:
10.1115/isfa2020-9639
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发表时间:
2020
期刊:
Proceedings of 2020 International Symposium on Flexible Automation
影响因子:
--
通讯作者:
Suwa Haruhiko
Suwa Haruhiko
中科院分区:
--
文献类型:
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作者:
Yonemoto Ryo;Suwa Haruhiko

文献摘要

相似文献

制造业中的意外中断,如机器故障,往往会导致生产率下降。本研究的目的是建立一种自动调度方法,能够对不确定事件的发生做出反应,从而尽快赶上计划的进度。在这里,我们集中于根据预定的调度修订策略来建立物料搬运机器人的自适应操作,以应对不确定性并减少制造系统的总停机时间。通过物理实验验证了该方法的适用性。
Unexpected interruptions in manufacturing such as machine breakdowns often incur degradation of productivity. This study aims to build an automatic scheduling method that responds to the occurrence of uncertain events flawing a schedule and catch up the planned schedule as quickly as possible. We here focus on building adaptive operations of a material handling robot according to the predetermined schedule revision policy to cope with uncertainties and to reduce the total downtime of the manufacturing system. The applicability of the proposed method is demonstrated through physical experiments.