Results 1 to 10 of about 201,619 (177)

Information and communication integration in smart factory design [version 2; peer review: 1 approved, 3 approved with reservations, 1 not approved] [PDF]

F1000Research, 2023
Strategic smart factory design is essential to utilize Industry 4.0 technologies in production environments effectively. Although a series of earlier reviews in the context of smart manufacturing have been published, so far none addresses smart factory ...
Christian Fauska, Jaroslava Kniežová
doaj   +2 more sources

Framework of 2D KDE and LSTM-Based Forecasting for Cost-Effective Inventory Management in Smart Manufacturing

Applied Sciences, 2022
Over the last decade, the development of machine-learning models has enabled the design of sophisticated regression models. For this reason, studies have been conducted to design predictive models using machine learning in various industries.
Myungsoo Kim, Jaehyeong Lee, Chaegyu Lee, Jongpil Jeong   +3 more
doaj   +1 more source

Velocity range-based reward shaping technique for effective map-less navigation with LiDAR sensor and deep reinforcement learning

Frontiers in Neurorobotics, 2023
In recent years, sensor components similar to human sensory functions have been rapidly developed in the hardware field, enabling the acquisition of information at a level beyond that of humans, and in the software field, artificial intelligence ...
HyeokSoo Lee, HyeokSoo Lee, Jongpil Jeong   +2 more
doaj   +1 more source

A Novel Approach to the Job Shop Scheduling Problem Based on the Deep Q-Network in a Cooperative Multi-Access Edge Computing Ecosystem

Sensors, 2021
In this study, based on multi-access edge computing (MEC), we provided the possibility of cooperating manufacturing processes. We tried to solve the job shop scheduling problem by applying DQN (deep Q-network), a reinforcement learning model, to this ...
Junhyung Moon, Minyeol Yang, Jongpil Jeong   +2 more
doaj   +1 more source

Multi-Scale Convolutional Recurrent Neural Network for Bearing Fault Detection in Noisy Manufacturing Environments

Applied Sciences, 2021
The failure of a facility to produce a product can have significant impacts on the quality of the product. Most equipment failures occur in rotating equipment, with bearing damage being the biggest cause of failure in rotating equipment.
Seokju Oh, Seugmin Han, Jongpil Jeong
doaj   +1 more source

Production Improvement Rate with Time Series Data on Standard Time at Manufacturing Sites

Applied Sciences, 2023
Amid the changes brought about by the 4th Industrial Revolution, numerous studies have been undertaken to develop smart factories, with a strong emphasis on knowledge-based manufacturing through smart factory construction.
Injong Ki, Hasup Song, Jihyeok Ryu, Jongpil Jeong   +3 more
doaj   +1 more source

CNN-Based Defect Inspection for Injection Molding Using Edge Computing and Industrial IoT Systems

Applied Sciences, 2021
Currently, the development of automated quality inspection is drawing attention as a major component of the smart factory. However, injection molding processes have not received much attention in this area of research because of product diversity ...
Hyeonjong Ha, Jongpil Jeong
doaj   +1 more source

Improved U-Net with Residual Attention Block for Mixed-Defect Wafer Maps

Applied Sciences, 2022
Detecting defect patterns in semiconductors is very important for discovering the fundamental causes of production defects. In particular, because mixed defects have become more likely with the development of technology, finding them has become more ...
Jaegyeong Cha, Jongpil Jeong
doaj   +1 more source

Federated Learning for Predictive Maintenance and Anomaly Detection Using Time Series Data Distribution Shifts in Manufacturing Processes

Sensors, 2023
In the manufacturing process, equipment failure is directly related to productivity, so predictive maintenance plays a very important role. Industrial parks are distributed, and data heterogeneity exists among heterogeneous equipment, which makes ...
Jisu Ahn, Younjeong Lee, Namji Kim, Chanho Park, Jongpil Jeong   +4 more
doaj   +1 more source

Production Planning Forecasting System Based on M5P Algorithms and Master Data in Manufacturing Processes

Applied Sciences, 2023
With the increasing adoption of smart factories in manufacturing sites, a large amount of raw data is being generated from manufacturers’ sensors and Internet of Things devices. In the manufacturing environment, the collection of reliable data has become
Hasup Song, Injong Gi, Jihyuk Ryu, Yonghwan Kwon, Jongpil Jeong   +4 more
doaj   +1 more source