Volatility and uncertainty of today's value chains along with the market's demands for low-
batch customized products mandate production systems to become smarter and more …

Dedicated manufacturing systems are fading out as future manufacturing (ie, Industry 4.0 [1])
demands ultra-flexible smart manufacturing systems that can self-adapt to production …

Smart manufacturing uses big data, the Internet of things (IoT) and the Internet of Services
(IoS), and flexible and dynamic workforces to cope with ever-increasing demand in low …

Today, the manufacturing industry is aiming to improve competitiveness by integrating
capabilities such as sensing, communication, big data analytics, and cloud computing …

Artificial Intelligence (AI) technologies enable manufacturing systems to sense the
environment, adapt to external needs, and extract process knowledge, including business …

The traditional production paradigm of large batch production does not offer flexibility toward
satisfying the requirements of individual customers. A new generation of smart factories is …

This article delves into the transformative collaboration between Artificial Intelligence (AI)
and robotics within the context of Industry 4.0 applications. Industry 4.0 represents a …

The advent of Industry 4.0 and the development of future industrial applications can be
achieved using Cyber-Physical Systems (CPS). This technological development invokes …

The manufacturing industry has undergone several pivotal transformations throughout
history that have dramatically increased productivity and efficiency. We are now on the cusp …

ABSTRACT The concept of Industry 5.0 (I5. 0) promotes the human-centricity as the core
value behind the evolution of smart manufacturing systems (SMSs), based on a novel use of …