Knowledge management in the fourth industrial revolution: Mapping the literature and scoping future avenues

MF Manesh, MM Pellegrini, G Marzi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to increased competitive pressure, modern organizations tend to rely on knowledge
and its exploitation to sustain a long-term advantage. This calls for a precise understanding …

Survey on visual analysis of event sequence data

Y Guo, S Guo, Z Jin, S Kaul, D Gotz… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …

A survey of visualization for smart manufacturing

F Zhou, X Lin, C Liu, Y Zhao, P Xu, L Ren, T Xue… - Journal of …, 2019 - Springer
In smart manufacturing, people are facing an increasing amount of industrial data derived
from various digitalized and connected sources in all kinds of formats. Analyzing and …

Business analytics in Industry 4.0: A systematic review

AJ Silva, P Cortez, C Pereira, A Pilastri - Expert systems, 2021 - Wiley Online Library
Abstract Recently, the term “Industry 4.0” has emerged to characterize several Information
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …

Improving transactional data system based on an edge computing–blockchain–machine learning integrated framework

Z Shahbazi, YC Byun - Processes, 2021 - mdpi.com
The modern industry, production, and manufacturing core is developing based on smart
manufacturing (SM) systems and digitalization. Smart manufacturing's practical and …

[HTML][HTML] Sound-based remote real-time multi-device operational monitoring system using a convolutional neural network (CNN)

J Kim, H Lee, S Jeong, SH Ahn - Journal of Manufacturing Systems, 2021 - Elsevier
Smart factory is the main keyword in the field of manufacturing processes about the fourth
industrial revolution. To realize the smart factory, making all pieces of device into smart …

MetaGlyph: Automatic generation of metaphoric glyph-based visualization

L Ying, X Shu, D Deng, Y Yang, T Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Glyph-based visualization achieves an impressive graphic design when associated with
comprehensive visual metaphors, which help audiences effectively grasp the conveyed …

A visual analytics framework for reviewing multivariate time-series data with dimensionality reduction

T Fujiwara, N Sakamoto, J Nonaka… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Data-driven problem solving in many real-world applications involves analysis of time-
dependent multivariate data, for which dimensionality reduction (DR) methods are often …

PlanningVis: A Visual Analytics Approach to Production Planning in Smart Factories

D Sun, R Huang, Y Chen, Y Wang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Production planning in the manufacturing industry is crucial for fully utilizing factory
resources (eg, machines, raw materials and workers) and reducing costs. With the advent of …

Data science methods and tools for industry 4.0: A systematic literature review and taxonomy

HM Arruda, RS Bavaresco, R Kunst, EF Bugs… - Sensors, 2023 - mdpi.com
The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …