Background: Reverse supply chains of machinery and equipment face significant challenges, and overcoming them is critical for effective customer service and sustainable operation. Maintenance and repair services, strongly associated with the reverse movement of equipment, are among the most...

Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D...

Industry 4.0 denotes smart manufacturing, where rotating machines predominantly serve as the fundamental components in production sectors. The primary duty of maintenance engineers is to upkeep these vital machines, aiming to reduce unexpected halts and extend their operational lifespan. The...

How Digital Shadows, New Forms of Human-Machine Collaboration, and Data-Driven Business Models Are Driving the Future of Industry 4.0: A Delphi Study -- Applying the Real-Time Delphi Method to Next Generation Manufacturing -- Big Picture of Next Generation Manufacturing -- Governance Structures...