12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.MA2025★ 12 cited
Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
Bo Fu, Mingjie Bi, Shota Umeda +6
The increasing complexity of modern manufacturing, coupled with demand fluctuation, supply chain uncertainties, and product customization, underscores the need for manufacturing sy…
cs.AI2024
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data
Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata +2
Dynamic dispatching rules that allocate resources to tasks in real-time play a critical role in ensuring efficient operations of many automated material handling systems across ind…
cs.LG2024★ 1 cited
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata +2
This paper proposes a multi-agent reinforcement learning (MARL) approach to learn dynamic dispatching strategies, which is crucial for optimizing throughput in material handling sy…