Recent developments in manufacturing processes and automation have led to the new
industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain …

Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

Data-driven methods provided smart manufacturing with unprecedented opportunities to
facilitate the transition toward Industry 4.0–based production. Machine learning and deep …

Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …

Purpose: Business Analytics was defined as one of the most important aspects of
combinations of skills, technologies and practices which scrutinize a corporation's data and …

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 …

Digitalization has brought a significant improvement in process optimization and decision-
making processes, in particular in pursuing the goal of sustainability. This study examines …

Predictive maintenance is an essential aspect of microgrid operations as it enables
identifying potential equipment failures in advance, reducing downtime, and increasing the …

Featured Application Maintaining production systems within Industry 4.0 facilitates the
application of artificial intelligence methods, techniques and tools to predict potential failures …

With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …