Industry 4.0 and its implementation: A review

C Zhang, Y Chen, H Chen, D Chong - Information Systems Frontiers, 2021 - Springer
Triggered by the development of information and communications technologies, Industry 4.0
opens up a new era for the manufacturing industry. Currently, Industry 4.0 has attracted …

A systematic literature review on the application of process mining to Industry 4.0

K Akhramovich, E Serral, C Cetina - Knowledge and Information Systems, 2024 - Springer
The transition to Industry 4.0 means a new era in manufacturing with a new level of
production automation, human-to-machine cooperation and product customization. It …

Analyzing roadblocks of Industry 4.0 adoption using graph theory and matrix approach

N Virmani, UR Salve, A Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The manufacturing era is going through an evolutionary phase from Industry 3.0 to Industry
4.0 (I4. 0). In 2011, Germany initiated I4. 0 during the Hanover fair in collaboration with …

Autonomic computing in a beef-production process for Precision Livestock Farming

R García, J Aguilar, M Toro, N Pérez, A Pinto… - Journal of Industrial …, 2023 - Elsevier
Precision livestock farming (PLF) offers farmers real-time monitoring and management
system. PLF provides a real-time warning when something goes wrong so that the farmer …

An integrated approach of zero defect manufacturing and process mining to avoid defect occurrence in production and improve sustainability

R Khakpour, A Ebrahimi… - International Journal of …, 2024 - emerald.com
Purpose This paper aims to integrate zero defect manufacturing (ZDM) with process mining
(PM) to avoid defect occurrence during production and improve sustainability …

An autonomous cycle of data analysis tasks for the clinical management of dengue

W Hoyos, J Aguilar, M Toro - Heliyon, 2022 - cell.com
Dengue is the most widespread vector-borne disease worldwide. Timely diagnosis and
treatment of dengue is the main objective of medical professionals to decrease mortality …

Machine Learning Applications in Manufacturing-Challenges, Trends, and Future Directions

A Manta-Costa, SO Araújo, RS Peres… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
The emergence of Industry 4.0 (I4. 0) has significantly transformed manufacturing
landscapes, introducing interconnected, dynamic, and data-rich environments. This article …

Enriching socio-technical sustainability intelligence through sharing autonomy

R Heininger, TE Jost, C Stary - Sustainability, 2023 - mdpi.com
We suggest to extend scientific research on sustainability beyond its focus on interactions
between natural and social systems to socio-technical systems and the ways in which those …

Different transfer learning approaches for insect pest classification in cotton

R Toscano-Miranda, J Aguilar, W Hoyos, M Caro… - Applied Soft …, 2024 - Elsevier
Boll weevil is an important pest that affects cotton crops worldwide, causing significant
economic losses. The classification of the boll-weevil population is crucial for developing …

Sentiment analysis on social networks for defining innovation problems in organizations

A Gutiérrez, J Aguilar, A Ortega, E Montoya - Technology in Society, 2025 - Elsevier
In recent years, social networks have transformed into dynamic platforms where individuals
express personal thoughts, share emotions, and generate content on virtually any topic. To …