Toward Sustainable Smart Manufacturing: Physical and Logical Enablers for Industry 4.0

Dear Colleagues,

Driven by Industry 4.0, advanced manufacturing systems are evolving through the integration of data-driven intelligence, automation, and sustainability. The convergence of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), smart sensors, and real-time data analytics is reshaping the manufacturing industry. This Special Issue aims to bring together recent and innovative research on the integration of these emerging technologies with both conventional and additive manufacturing processes. The goal is to support the development of adaptive, efficient, scalable, and future-ready manufacturing ecosystems that address the growing need for flexibility, high quality, and resource-conscious production. Original multidisciplinary research and comprehensive reviews offering rigorous and insightful theoretical, computational, or experimental advancements are invited.

Topics of interest include, but are not limited to, the following:

• AI-driven manufacturing systems (including hyprid manufacturing);
• AI-enabled design for additive manufacturing;
• Data-driven sustainable manufacturing design and practices;
• Circular economy, recyclability, and closed-loop production strategies;
• Intelligent manufacturing process planning and optimization;
• Smart sensors, IoT, and real-time monitoring;
• Digital twins and cyber-physical systems;
• Predictive maintenance and quality control;
• Automation, robotics, and human–machine collaboration.

Dr. Ahmad Z. Naser
Dr. Ahmed Azab
Guest Editors

Manuscript Submission Information

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