Open Access
REVIEW
Application of Automated Guided Vehicles in Smart Automated Warehouse Systems: A Survey
Zheng Zhang, Juan Chen*, Qing Guo
Beijing University of Chemical Technology, Beijing, 100029, China
* Corresponding Author: Juan Chen. Email:
(This article belongs to this Special Issue: Computer Modeling for Smart Cities Applications)
Computer Modeling in Engineering & Sciences 2023, 134(3), 1529-1563. https://doi.org/10.32604/cmes.2022.021451
Received 15 January 2022; Accepted 10 May 2022; Issue published 20 September 2022
Abstract
Automated Guided Vehicles (AGVs) have been introduced into various applications, such as automated warehouse
systems, flexible manufacturing systems, and container terminal systems. However, few publications have outlined
problems in need of attention in AGV applications comprehensively. In this paper, several key issues and essential
models are presented. First, the advantages and disadvantages of centralized and decentralized AGVs systems were
compared; second, warehouse layout and operation optimization were introduced, including some omitted areas,
such as AGVs fleet size and electrical energy management; third, AGVs scheduling algorithms in chessboardlike environments were analyzed; fourth, the classical route-planning algorithms for single AGV and multiple
AGVs were presented, and some Artificial Intelligence (AI)-based decision-making algorithms were reviewed.
Furthermore, a novel idea for accelerating route planning by combining Reinforcement Learning (RL) and Dijkstra’s
algorithm was presented, and a novel idea of the multi-AGV route-planning method of combining dynamic
programming and Monte-Carlo tree search was proposed to reduce the energy cost of systems.
Graphical Abstract
Keywords
Cite This Article
Zhang, Z., Chen, J., Guo, Q. (2023). Application of Automated Guided Vehicles in Smart Automated Warehouse Systems: A Survey.
CMES-Computer Modeling in Engineering & Sciences, 134(3), 1529–1563.