Results 71 to 80 of about 393 (176)

Reinforcement Learning‐Assisted Meta‐Heuristics for Scheduling Job Shops With Material Handling Robots

IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.
This study addresses an integrated job shop scheduling problem with material handling robots, aiming to minimise the maximum completion time. Three meta‐heuristics, seven local search strategies and two reinforcement learning algorithms are proposed to solve the problems.
Qi Jia, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan   +3 more
wiley   +1 more source

Fusion Q-Learning Algorithm for Open Shop Scheduling Problem with AGVs

Mathematics
In accordance with the actual production circumstances of enterprises, a scheduling problem model is designed for open-shop environments, considering AGV transport time. A Q-learning-based method is proposed for the resolution of such problems.
Xiaoyu Wen, Haobo Zhang, Hao Li, Haoqi Wang, Wuyi Ming, Yuyan Zhang, Like Zhang   +6 more
doaj   +1 more source

Multi-AGV Scheduling and Path Planning Based on an Improved Ant Colony Algorithm

Vehicles
In current intelligent manufacturing workshops, multi-automated guided vehicle (AGV) systems often face issues such as uneven task allocation, path conflicts, and idle travel, which significantly affect scheduling efficiency.
Yang Xu, Wei Liu, Hao Yuan
doaj   +1 more source

Inter-AGV Scheduling and a Novel Multi-Agent Collaborative Protocol for Intra-AGV Resource Allocation in MEC-Enabled Multi-AGV Scenarios

IEEE Open Journal of the Communications Society
This work was supported in part by the Spanish MINECO and the EU’s– NextGeneration EU, in the framework of the PRTR (Call UNICO I+D 5G 2021) under Grant TSI-063000-2021-9-6GSMART-ICC; in part by the EU “NextGenerationEU/PRTR”, MCIN, AEI, Spain, under Project IJC2020-043058-I; in part by the CERCA Programme/Generalitat de Catalunya; in part by MCIN/AEI ...
Javier Palomares, Estela Carmona Cejudo, Cristina Cervelló-Pastor, Estefanía Coronado, Hatim Chergui, Muhammad Shuaib Siddiqui   +5 more
openaire   +2 more sources

Dynamic storage space optimization for multi-AGV systems: a multi-task proximal policy optimization approach

Ain Shams Engineering Journal
Multi-Automatic Guided Vehicle (AGVs) are core components of intelligent warehousing and logistics. In current deployments, storage locations are usually fixed, which decouples storage from vehicle scheduling and causes inefficient routing, congestion ...
Nengqi Zhang, Yihang Zhang, Jian Zhang
doaj   +1 more source

Digital Twin and Simulation Analyses for Process Optimization of an Automated Guided Vehicle System

Tehnički Glasnik
Development in industrial companies aims to digitize processes, ensure traceability and advance automation. Systems with automated guided vehicles (AGVs) can help meet these objectives.
Lothar Schulze, Li Li
doaj   +1 more source

Efficient routing for multiple AGVs in container terminals using hybrid deep learning and metaheuristic algorithm

Ain Shams Engineering Journal
This study aims to present the efficient routing of multiple agent systems by optimizing the automated guided vehicle (AGV) movement, waiting time, or container-lifting actions, providing optimal routing solutions in automated container terminals (ACTs).
Bui Minh Hau, Sam-Sang You, Le Ngoc Bao Long, Hwan-Seong Kim   +3 more
doaj   +1 more source

Integrated Production–Logistics Scheduling in Flexible Assembly Shops Using an Improved Genetic Algorithm

Machines
Achieving high operational efficiency in modern manufacturing requires the seamless integration of production scheduling and intralogistics coordination.
Jie Fu, Bin Yang, Zhixing Chang, Yuanrong Zhang, Jiarui Wang, Xiaotong Wang, Lei Wang   +6 more
doaj   +1 more source

An adaptive dispatching approach for automated guided vehicles system

Discover Applied Sciences
Automatic guided vehicles (AGVs) are widely used in material handling of various industries due to their advanced automation and high performance. Effective job scheduling is critical for optimizing AGV system (AGVS) efficiency.
Gan Zou, Houwen Liu
doaj   +1 more source

Multi-objective AGV scheduling in an automatic sorting system of an unmanned (intelligent) warehouse by using two adaptive genetic algorithms and a multi-adaptive genetic algorithm. [PDF]

PLoS One, 2019
Liu Y, Ji S, Su Z, Guo D.
europepmc   +1 more source