Results 31 to 40 of about 393 (176)

Collaborative platooning and routing for mixed fleets of electric automated vehicles and conventional trucks

International Transactions in Operational Research, EarlyView.
Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia, Rudy R. Negenborn, Frederik Schulte   +2 more
wiley   +1 more source

Optimal Scheduling of AGVs in a Reentrant Blocking Job-shop

Procedia CIRP, 2018
Abstract This work presents a mixed integer linear programming (MILP) formulation to find an optimal solution to a small instance of the complex scheduling problem in a make-to-order production. Minimizing the make span, the MILP generates the optimal schedule for the autonomous guided vehicles (AGVs) in a blocking reentrant job shop environment with
Heger, Jens, Voß, Thomas
openaire   +1 more source

Exact and metaheuristic approaches to minimizing makespan in parallel machine scheduling with conflicting jobs

International Transactions in Operational Research, EarlyView.
Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati, Dinh Quy Ta, Minh Hoàng Hà, Andrea Schaerf   +3 more
wiley   +1 more source

A heuristic-assisted deep reinforcement learning algorithm for flexible job shop scheduling with transport constraints

Complex & Intelligent Systems
Automated guided vehicles (AGVs) are widely used for transportation in flexible job shop (FJS) systems, and their transportation task scheduling has the same substantial impact on production efficiency as machine scheduling does. However, traditional FJS
Xiaoting Dong, Guangxi Wan, Peng Zeng
doaj   +1 more source

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

International Transactions in Operational Research, EarlyView.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß   +3 more
wiley   +1 more source

A scheduling optimization method for multiple automated guided vehicle systems

International Journal of Advanced Robotic Systems
When constructing a multiple automated guided vehicle (multi-AGV) system, it is essential to calculate the potential values of the system’s feature parameters.
Tongpo Zhang, Mengju Xu, Zimai Ma, Fei Ma, Limin Yu   +4 more
doaj   +1 more source

Joint Economic Optimization of AGV Logistics Scheduling and Orderly Charging in a Low-Carbon Automated Terminal

Shanghai Jiaotong Daxue xuebao
To improve the current automated guided vehicle (AGV) charging strategy at automated terminals, which is not fully coordinated with the distributed power supply, a joint optimization method of AGV logistics scheduling and orderly charging is proposed ...
WANG Xuan, WANG Bao, CHEN Yanping, LIU Hong, MA Xiaohui
doaj   +1 more source

The seed bank created by the dung of large herbivores drives seed circulation in an alpine meadow

Ecosphere, Volume 17, Issue 6, June 2026.
Abstract Seed circulation (i.e., sexual reproduction) is vital for the regeneration of aboveground grassland vegetation (AGV). It occurs in several steps: seed production (seed rain, SR), dispersal (endozoochory, i.e., dung seed bank, DSB), formation of the soil seed bank (SSB), germination, seedling growth, and establishment of adult plants.
Shulin Wang, Fujiang Hou
wiley   +1 more source

Scheduling Method of AGV in Spinning Workshop Based on Simulated Annealing Ant Colony Optimization

Journal of Applied Science and Engineering
Focusing on the lack of effective methods for collaborative scheduling of AGV (Automated Guided Vehicle) in ring spinning workshops. Under various constraints covering point demand constraint, path flow constraint, AGV capacity constraint, starting point
Jinglong Xiong, Yiping Yuan, Yongsheng Chao, Ming Li, Adilanmu Sitahong, Peiyin Mo   +5 more
doaj   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source