Decision-making in the context of Industry 4.0: Evidence from the textile and clothing industry

H Nouinou, E Asadollahi-Yazdi, I Baret… - Journal of cleaner …, 2023 - Elsevier
Industry 4.0 arrives with a multitude of technological advances which impact the different
components of a product's value chain. Most existing research investigate the application of …

The nexus of industry 4.0 and circular procurement: a systematic literature review and research agenda

A Rejeb, A Appolloni - Sustainability, 2022 - mdpi.com
In the wake of Industry 4.0, circular supply chain management has undergone radical
transformations. Organizations have been able to boost their efficiency thanks to …

Control System Development and Implementation of a CNC Laser Engraver for Environmental Use with Remote Imaging

H Attar, AT Abu-Jassar, A Amer… - Computational …, 2022 - Wiley Online Library
This article is aimed at studying the features of the control systems development for a small‐
sized Computer Numerical Control (CNC) portative laser engraver. The CNC is …

Internet of things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable industry 4.0

E Nica, V Stehel - Journal of Self-Governance and Management …, 2021 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze Internet of
Things sensing networks, artificial intelligence-based decision-making algorithms, and real …

[HTML][HTML] Adoptable approaches to predictive maintenance in mining industry: An overview

O Dayo-Olupona, B Genc, T Celik, S Bada - Resources Policy, 2023 - Elsevier
The mining industry contributes to the expansion of the global economy by generating vital
commodities. For continuous production, the industry relies significantly on machinery and …

Big data life cycle in shop-floor–trends and challenges

T Pulikottil, LA Estrada-Jimenez, JJP Abadía… - IEEE …, 2023 - ieeexplore.ieee.org
Big data is defined as a large set of data that could be structured or unstructured. In
manufacturing shop-floor, big data incorporates data collected at every stage of the …

Privacy-Preserving and Secure Industrial Big Data Analytics: A Survey and the Research Framework

L Liu, J Li, J Lv, J Wang, S Zhao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The development of the Industrial Internet will generate a large amount of valuable data,
known as industrial big data (IBD). By mining and utilizing IBD, enterprises can improve …

Competitiveness and innovation of small and medium enter-prises under Industry 4.0 and 5.0 challenges: A comprehensive bibliometric analysis

A Lewandowska, J Berniak-Woźny… - … . Quarterly Journal of …, 2023 - ceeol.com
Research background: In the context of Industry 4.0 and 5.0, competitiveness is intricately
linked to innovativeness and ongoing technological advancements, posing a formidable …

UNISON framework with fuzzy decision tree for water conservation in the dynamic scheduling of the textile dyeing process

CC Ku, KT Ma, TNQ Le, CF Chien - Industrial Management & Data …, 2024 - emerald.com
Purpose This study aimed to optimize the dyeing scheduling process with uncertain job
completion time to reduce resource consumption and wastewater generation, and while …

Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

H Heimberger, D Horvat, F Schultmann - Information Technology and …, 2024 - Springer
Our paper analyzes the current state of research on artificial intelligence (AI) adoption from a
production perspective. We represent a holistic view on the topic which is necessary to get a …