Results 71 to 80 of about 3,928 (192)

Fuzzy heuristic algorithm for simultaneous scheduling problems in flexible manufacturing system [PDF]

Management Science Letters, 2018
This paper addresses the flexible manufacturing system (FMS) problems considering both machines and automated guided vehicles (AGVs), simultaneously.
Prakash Babu Kanakavalli, Vijaya Babu Vommi , Nageswara Rao Medikondu   +2 more
doaj   +1 more source

User‐Tailored Impact‐Based Hail Forecasts in Switzerland

Meteorological Applications, Volume 33, Issue 1, January/February 2026.
This study implements and evaluates two types of impact‐oriented hail warnings and impact‐based hail forecasts for Switzerland, specifically tailored to the addressed user groups (general public and larger institutions, respectively). ABSTRACT Hail represents a major atmospheric peril in terms of monetary damages in many European countries.
Valentin Gebhart, Timo Schmid, Evelyn Mühlhofer, Leonie Villiger, David N. Bresch   +4 more
wiley   +1 more source

Multi-AGV-Driven Pallet-Picking Scheduling Optimization (MADPSO): A Method for Flexible Multi-Level Picking Systems

Applied Sciences
In the context of increasingly competitive shipbuilding, the flexible multi-level picking system, composed of high-rise shelves, Automated Guided Vehicles (AGVs), and picking stations, has been of gradual interest because of its advantages in operation ...
Jinghua Li, Yidong Chen, Lei Zhou, Ruipu Dong, Wenhao Yin, Wenhao Huang, Fan Zhang   +6 more
doaj   +1 more source

Safety Considerations in Deployment of Robotic Systems – A Systematic Review

Journal of Field Robotics, Volume 43, Issue 1, Page 5-33, January 2026.
ABSTRACT An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems,
Adedire D. Adesiji, Segun E. Ibitoye, Rasheedat M. Mahamood, Olalekan A. Olayemi, Peter O. Omoniyi, Tien‐Chien Jen, Esther T. Akinlabi   +6 more
wiley   +1 more source

Research on AGV Scheduling Optimization Based on Hungarian Algorithm

Journal of Physics: Conference Series, 2020
Abstract Aiming at some problems in the mode of intelligent warehouse multi-selection and order outbound, this paper proposes to optimize the picking station assignment order task and order task assignment AGV in a “serial” or “parallel” manner to realize the synchronous scheduling of order tasks and AGV. The improved Hungarian algorithm
Jiancheng Liu, Jian Wu, Chengcheng Zhang
openaire   +1 more source

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

A Reinforcement Learning‐Based AGV Scheduling for Automated Container Terminals With Resilient Charging Strategies

IET Intelligent Transport Systems
Automated guided vehicles (AGVs) serve as pivotal equipment for horizontal transportation in automated container terminals (ACTs), necessitating the optimization of AGV scheduling.
Shaorui Zhou, Yeyi Yu, Min Zhao, Xiaopo Zhuo, Zhaotong Lian, Xun Zhou   +5 more
doaj   +1 more source

Scheduling vehicles in automated transportation systems : algorithms and case study [PDF]

, 2000
One of the major planning issues in large scale automated transportation systems is so-called empty vehicle management, the timely supply of vehicles to terminals in order to reduce cargo waiting times.
Ebben, Mark, Gademann, Noud, Harten, Aart van, Heijden, Matthieu van der   +3 more
core   +1 more source

Principles for Applying AI to Address the Challenges of Scaling Digital Twins

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
ABSTRACT Despite the increasing affordability of data processing and storage and the enhancement of artificial intelligence (AI) and digital technologies in recent years, scalability and adoption continue to be a challenge when it comes to digital twins (DTs). Common challenges that are often cited include the effort of designing and building DTs, high
Christine Chen, David Wagg, Mark Girolami   +2 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