Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

Artificial intelligence (AI) is globally acknowledged as innovative technology. Today, many
corporations and individuals are making an effort to harness the capabilities of AI in almost …

The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …

Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI)
has seen accelerated growth since the beginning of the 21st century. Successful AI …

Artificial intelligence (AI) has been successfully applied in industry for decades, ranging from
the emergence of expert systems in the 1960s to the wide popularity of deep learning today …

Artificial intelligence (AI) and machine learning (ML) can improve manufacturing efficiency,
productivity, and sustainability. However, using AI in manufacturing also presents several …

Artificial Intelligence (AI) systems applications are widespread due to its domain
independent characteristics. In this work, an attempt has been made for review on AI …

Modern manufacturing and logistics systems are supported by increasingly ubiquitous and
powerful computing networks. Within these networks, oceans of data are continuously being …

The recent advances in artificial intelligence have already begun to penetrate our daily lives.
Even though the development is still in its infancy, it has been shown that it can outperform …

Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …