Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …
technologies, which promise to realize lean and just-in-time production through digitization …
Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …
autonomous software that optimizes decision-making and energy distribution operations …
Artificial intelligence applications for industry 4.0: A literature-based study
Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries
are focusing on improving product consistency, productivity and reducing operating costs …
are focusing on improving product consistency, productivity and reducing operating costs …
A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective
Artificial intelligence (AI) can bring both opportunities and challenges to human resource
management (HRM). While scholars have been examining the impact of AI on workplace …
management (HRM). While scholars have been examining the impact of AI on workplace …
Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular …
S Bag, JHC Pretorius, S Gupta, YK Dwivedi - … Forecasting and Social …, 2021 - Elsevier
The significance of big data analytics-powered artificial intelligence has grown in recent
years. The literature indicates that big data analytics-powered artificial intelligence has the …
years. The literature indicates that big data analytics-powered artificial intelligence has the …
[HTML][HTML] Industry 4.0 technologies for manufacturing sustainability: A systematic review and future research directions
Recent developments in manufacturing processes and automation have led to the new
industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain …
industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain …
The role of artificial intelligence in supply chain management: mapping the territory
The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …
Algorithmic bias in data-driven innovation in the age of AI
Data-driven innovation (DDI) gains its prominence due to its potential to transform
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …
Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …
becoming more and more dynamic, connected but also inherently more complex, with …
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time
S Ayvaz, K Alpay - Expert Systems with Applications, 2021 - Elsevier
In this study, a data driven predictive maintenance system was developed for production
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …