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 …

[HTML][HTML] Forest 4.0: technologies and digitalization to create the residual biomass supply chain of the future

T Bastos, LC Teixeira, LJR Nunes - Journal of Cleaner Production, 2024 - Elsevier
Currently, there is an increasing pressure to decarbonize and meet energy demands. In this
regard, the usage of renewable energy sources is becoming more prominent. Biomass …

Promising role of visual IoT: Challenges and future research directions

A Hazra - IEEE Engineering Management Review, 2023 - ieeexplore.ieee.org
The Visual Internet of Things (VIoT) has gained significant attention in computer science due
to the emergence of miniature video sensors and advancements in computer vision …

Applications and Societal Implications of Artificial Intelligence in Manufacturing: A Systematic Review

JP Nelson, JB Biddle, P Shapira - arXiv preprint arXiv:2308.02025, 2023 - arxiv.org
This paper undertakes a systematic review of relevant extant literature to consider the
potential societal implications of the growth of AI in manufacturing. We analyze the extensive …

Engineers' perspectives on the use of generative artificial intelligence tools in the workplace

J Joskowicz, D Slomovitz - IEEE Engineering Management …, 2023 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) into the workplace requires commitment not only
from the leadership of company directors but, equally important, from the engineers …

The research landscape of industry 5.0: a scientific mapping based on bibliometric and topic modeling techniques

A Rejeb, K Rejeb, I Zrelli, Y Kayikci… - Flexible Services and …, 2024 - Springer
Abstract Industry 5.0 (I5. 0) marks a transformative shift toward integrating advanced
technologies with human-centric design to foster innovation, resilient manufacturing, and …

Lateral Thinking-Classified Perspectives for the Adoption of Artificial Intelligence: Guidance Notes for Engineering Managers

MO Akinsolu - IEEE Engineering Management Review, 2024 - ieeexplore.ieee.org
Incorporating artificial intelligence (AI) into engi-neering practice is becoming increasingly
prominent, driven by the demand for more efficient and reliable solutions to engineer-ing …

Fluid Boundaries in Emerging Complex Intelligent Systems–System, Operational, and Organizational Perspectives

Y Yu, N Lakemond, G Holmberg - IEEE Engineering …, 2024 - ieeexplore.ieee.org
Rapid developments in artificial intelligence (AI) are driving the evolution of complex
products and systems (CoPS) into complex intelligent systems (CoIS). The introduction of AI …

Harnessing the Power of Artificial Intelligence in Reinventing the Manufacturing Sector

G Manoharan, SP Ashtikar, M Nivedha - … Real-Time Data and AI for …, 2024 - igi-global.com
AI is revolutionising industry with unprecedented efficiency and innovation. AI's promise has
transformed large manufacturing organizations. This chapter covers manufacturing AI …

A Generalized Framework for Adopting Regression-Based Predictive Modeling in Manufacturing Environments

MO Akinsolu, K Zribi - Inventions, 2023 - mdpi.com
In this paper, the growing significance of data analysis in manufacturing environments is
exemplified through a review of relevant literature and a generic framework to aid the ease …