Smart manufacturing is critical in improving the quality of the process industry. In smart
manufacturing, there is a trend to incorporate different kinds of new-generation information …

Safe, efficient, and sustainable operations and control are primary objectives in industrial
manufacturing processes. State-of-the-art technologies heavily rely on human intervention …

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

In the age of big data, intelligence, and Industry 4.0, intelligence plays an increasingly
significant role in management or, more specifically, decision making; thus, it becomes a …

Purpose This study is a systematic literature review of the application of artificial intelligence
(AI) in safety-critical systems. The authors aim to present the current application status …

Fault detection and diagnosis (FDD) is crucial for dynamic process safety analysis.
Integrated with failure prediction models, it enables us to realize how a deviation in process …

In recent years, the field of Artificial Intelligence (AI) is experiencing a boom, caused by
recent breakthroughs in computing power, AI techniques, and software architectures. Among …

With the advent of digitization on the shopfloor and the developments of Industry 4.0,
companies are faced with opportunities and challenges alike. This can be illustrated by the …

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 …

Safety education has found a place in the chemical engineering curriculum. However, its
complete impact is yet to be realized. A part of this delay may be attributed to the gap …