Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …

Abstract Machine learning (ML), sensors networks, and Internet of Things (IoT) are the most
important contributor in the newest revolution in the industry. It is going towards a fully …

In the railway domain, rolling stock maintenance affects service operation time and
efficiency. Minimizing train unavailability is essential for reducing capital loss and …

The last decade saw the rise of digitalization and data-supported decision making in the
manufacturing industry: the Fourth Industrial Revolution. This trend, also known as Industry …

This article discusses issues related to the maintenance of airports' baggage handling
systems and assesses the feasibility of using predictive maintenance instead of periodic …

In the course of manufacturing excellence, decision makers are consistently confronted with
the task of making choices that will enhance and meet industrial plant's requirements. To this …

Purpose The purpose of this paper is to describe a methodology that has been set up to
schedule predictive maintenance of distribution transformers at Cauca Department …

Renewable energy is a clean and inexhaustible source of energy, so every year interest in
the study and the search for improvements in production increases. Wind energy is one of …

Predicting the remaining useful life (RUL) plays a significant role in reducing the downtime
of operational assets and maintenance costs. While various predictive maintenance (PdM) …

Business Models of the Industry 4.0 era have received limited attention from researchers.
Transformational leadership is needed to innovate, design and build business models in the …