This article presents a systematic literature review (SLR) of empirical studies concerning
Artificial Intelligence (AI) in the field of Supply Chain Management (SCM). Over the past …

The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …

While attracting increasing research attention in science and technology, Machine Learning
(ML) is playing a critical role in the digitalization of manufacturing operations towards …

Abstract Supervisory Control and Data Acquisition (SCADA) systems are computer-based
control architectures specifically engineered for the operation of industrial machinery via …

Rare events are occurrences that take place with a significantly lower frequency than more
common, regular events. These events can be categorized into distinct categories, from …

The emergence of Industry 4.0 (I4. 0) has significantly transformed manufacturing
landscapes, introducing interconnected, dynamic, and data-rich environments. This article …

The process monitoring method for industrial production can technically achieve early
warning of abnormal situations and help operators make timely and reliable response …

Accurate and timely detection of boiler tube leakage in a thermal power plant is essential to
maintain a stable power supply and prevent catastrophic failures. This paper proposes a …

Industry 4.0 has transformed manufacturing with real-time plant data collection across
operations and effective analysis is crucial to unlock the full potential of Internet-of-Things …

Automated assessment of car damage is a major challenge in the auto repair and damage
assessment industries. The domain has several application areas, ranging from car …