Intelligent traffic control for autonomous vehicle systems based on machine learning

S Lee, Y Kim, H Kahng, SK Lee, S Chung… - Expert Systems with …, 2020 - Elsevier
This study aimed to resolve a real-world traffic problem in a large-scale plant. Autonomous
vehicle systems (AVSs), which are designed to use multiple vehicles to transfer materials …

[HTML][HTML] A dynamic path planning approach for dense, large, grid-based automated guided vehicle systems

KJC Fransen, J Van Eekelen, A Pogromsky… - Computers & Operations …, 2020 - Elsevier
Real-time path planning for large, dense grid-based automated guided vehicle (AGV)
systems, used for example to sort parcels, is challenging. Most approaches described in the …

An intelligent energy management and traffic predictive model for autonomous vehicle systems

S Manne, EL Lydia, IV Pustokhina, DA Pustokhin… - Soft Computing, 2021 - Springer
In recent times, the utilization of autonomous vehicles (AVs) has been significantly increased
over the globe. It is because of the tremendous rise in familiarity and the usage of artificial …

Concept drift modeling for robust autonomous vehicle control systems in time-varying traffic environments

S Lee, SH Park - Expert Systems with Applications, 2022 - Elsevier
Autonomous vehicle systems (AVSs) are widely used to transfer wafers in semiconductor
manufacturing. However, in such systems, robust traffic control is a significant challenge …

AMHS vehicle management policies in semiconductor manufacturing: A short review

L Aresi, S Dauzère-Pérès, C Yugma… - 2019 International …, 2019 - ieeexplore.ieee.org
This paper studies vehicle management in unified Automated Material Handling Systems
(AMHS) of semiconductor manufacturing facilities. The main characteristics of an AMHS are …

Integrated task assignment and path planning for multi-type robots in an intelligent warehouse system

Z Qiu, J Long, Y Yu, S Chen - Transportation Research Part E: Logistics and …, 2025 - Elsevier
This paper considers an intelligent warehouse system (IWS) that requires the seamless
cooperation of three types of mobile robots: automated guided vehicles (AGVs), rail-guided …

An integrated framework of Industry 3.5 and an empirical study of simulation-based automated material handling system for semiconductor manufacturing

CF Chien, TY Hong - International Journal of Logistics Research …, 2024 - Taylor & Francis
Industry 4.0 empowered by the advanced technologies has driven digital transformation of
global manufacturing networks for smart production. However, most of the industries may not …

Dynamic OHT Routing Using Travel Time Approximation Based on Deep Neural Network

J Choi, T Yu, DG Choi - IEEE Access, 2024 - ieeexplore.ieee.org
This study proposes an effective dynamic OHT routing approach to handle a substantial
volume of wafer transport in a modern large semiconductor fabrication plant. The proposed …

Predictive vehicle dispatching method for overhead hoist transport systems in semiconductor fabs

J Wan, H Shin - International Journal of Production Research, 2022 - Taylor & Francis
We propose to use information regarding the fab's future state for Overhead Hoist Transport
(OHT) dispatching, which is named as 'predictive dispatching'in this paper. Unlike …

Bayesian Optimization for the Vehicle Dwelling Policy in a Semiconductor Wafer Fab

B Kang, C Park, H Kim, S Hong - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Many semiconductor fabrication plants (fabs) prefer simulation-based decision making for
vehicle dwelling policies because it can capture a fab's scalability and complexity. Vehicle …