Big data analytics for intelligent manufacturing systems: A review

J Wang, C Xu, J Zhang, R Zhong - Journal of Manufacturing Systems, 2022 - Elsevier
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …

Digital twins-based flexible operating of open architecture production line for individualized manufacturing

J Leng, Z Chen, W Sha, Z Lin, J Lin, Q Liu - Advanced Engineering …, 2022 - Elsevier
Individualized manufacturing implies high flexibility of both the hardware and software of the
production lines based on a fast physical and logical system (de) commissioning. This paper …

Deformable convolutional networks for efficient mixed-type wafer defect pattern recognition

J Wang, C Xu, Z Yang, J Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Defect pattern recognition (DPR) of wafer maps is critical for determining the root cause of
production defects, which can provide insights for the yield improvement in wafer foundries …

Semantic-aware event link reasoning over industrial knowledge graph embedding time series data

B Zhou, X Shen, Y Lu, X Li, B Hua, T Liu… - International Journal of …, 2023 - Taylor & Francis
The time series data in the manufacturing process reflects the sequential state of the
manufacturing system, and the fusion of temporal features into the industrial knowledge …

Edge computing in E-commerce business: economic impacts and advantages of scalable information systems

D Silitonga, SAA Rohmayanti, Z Aripin… - EAI Endorsed …, 2024 - publications.eai.eu
INTRODUCTION: Edge Computing brings better responsiveness and faster customer
experiences, while Scalable Information Systems enable efficient business growth …

Secure sharing of big digital twin data for smart manufacturing based on blockchain

W Shen, T Hu, C Zhang, S Ma - Journal of manufacturing systems, 2021 - Elsevier
With the rapid development of digital twin technology, a large amount of digital twin data
named as big digital twin data (BDTD), is generated in the lifecycle of equipment, which is …

A collaborative architecture of the industrial internet platform for manufacturing systems

J Wang, C Xu, J Zhang, J Bao, R Zhong - Robotics and Computer …, 2020 - Elsevier
One of the most significant advances in the development of intelligent manufacturing is
represented by the industrial Internet, which is combining the physical and cyber …

Applications and technologies of big data in the aerospace domain

E Adamopoulou, E Daskalakis - Electronics, 2023 - mdpi.com
Over the last few years, Big Data applications have attracted ever-increasing attention in
several scientific and business domains. Biomedicine, transportation, entertainment, and …

Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm

C Lu, L Gao, W Gong, C Hu, X Yan, X Li - Swarm and Evolutionary …, 2021 - Elsevier
With the development of economic globalization and sustainable manufacturing, sustainable
scheduling of distributed manufacturing has attracted increasing concern. However …

An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents

B Zhou, B Hua, X Gu, Y Lu, T Peng, Y Zheng… - Advanced Engineering …, 2021 - Elsevier
Industrial tabular information extraction and its semantic fusion with text (ITIESF) is of great
significance in converting and fusing industrial unstructured data into structured knowledge …