As businesses started to embrace Industry 4.0, along came the Fifth Industrial Revolution.
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …

To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

The accuracy of a predictive system is critical for predictive maintenance and to support the
right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable …

This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …

Abstract Decision Support Systems (DSS) have widely provided on intelligent human–
machine interactions like the Internet of Things (IoT). As the dimensions and complexity of …

This study investigates the intricate dynamics of human-technology interaction in the context
of safety within the Indonesian oil and gas industry, specifically focusing on the integration of …

ABSTRACT Predictive Maintenance (PdM) solutions assist decision-makers by predicting
equipment health and scheduling maintenance actions, but their implementation in industry …

The rise of the fourth industrial revolution aspires to digitize any traditional manufacturing
process, paving the way for new organisation schemes and management principles that …

Purpose This research aims to provide systematic insight into the current maturity of
augmented reality (AR) and virtual reality (VR) in operations and supply chain management …

Purpose Industries and businesses are pursuing Industry 4.0 technologies as well as
adopting a circular approach focused on improving manufacturing processes through the …