Jun 14, 2024 · ... multi-task learning model, obtaining more accurate prediction results and improving the overall system scheduling efficiency. ... AGV safety with standards ...
Jun 12, 2024 · Each AGV is equipped with a balanced workload based on minimizing the total travel path. Then a heuristic algorithm, with two different rules, is then used to ...
Jun 19, 2024 · This paper proposes an integrated scheduling optimization model based on mixed integer programming to analytically characterize the U-shaped automated ...
Jun 15, 2024 · Adapting production control to predicted bottlenecks is still an open challenge that could be addressed to enhance the performances of manufacturing systems.
Jun 12, 2024 · The proposed model optimizes the production plan over a multi-period scheduling horizon, accommodating variations in personnel shift hours within each time ...
Jun 16, 2024 · Chen et al. (2020) proposed an integrated scheduling model for planning loading and unloading operations in a container terminal, where two means of handling ...
Jun 15, 2024 · Drawing from the insights gained through the digital twin and simulation analyses, this study identifies novel scheduling and routing rules for the AGV system.
Jun 25, 2024 · This work is dedicated to the development of a multi- agent system for intelligent scheduling: to simulate, to analyze and to optimize used parameters to ...
Missing: Improving prediction.
Jun 20, 2024 · They propose ScheduleNet, which is a general scheduler for solving multi-agent scheduling problems. This approach utilizes an agent-task graph to model ...
Jun 20, 2024 · This paper focuses on enhancing the picker-to-parts system, prevalent in small to medium-sized warehouses, through the strategic use of AGVs. We discuss the ...