Advances in Mathematics for Industry 4.0

Mathematics at the Heart of Industry 4.0

Advances in Mathematics for Industry 4.0 gathers applied research on the mathematical ideas that support modern manufacturing, digital production, and industrial decision-making. Edited by Mangey Ram, this Academic Press volume is built around the practical problems that define Industry 4.0: optimization, modeling, scheduling, data analysis, security, intelligent manufacturing, and simulation.

The result is a wide-ranging reference for readers who want to see how mathematics moves from theory into working industrial settings. Rather than staying on one narrow topic, the collection connects multiple strands of contemporary manufacturing research, from blockchain and big data to digital twins and additive manufacturing.

What the book covers

• Mathematical approaches to Industry 4.0 systems and workflows
• Optimization and decision-support methods for production environments
• Digitalization, data handling, and security in industrial contexts
• Quality, scheduling, supply chain, and manufacturing-model challenges
• Emerging technologies such as the Internet of Things, AI, and digital twins

Why it stands out

This is a book for readers who want breadth with a technical focus. The chapters bring together multiple applications of mathematics across manufacturing and industrial engineering, making the volume especially useful for anyone comparing methods or looking for a broader view of how Industry 4.0 problems are being studied.

Who may find it useful

The publisher describes the readership as undergraduates and graduate students, along with researchers, professionals, and scientists working on mathematics applied to engineering problems. In practice, it should also appeal to readers with an interest in manufacturing technology, industrial optimization, and data-driven production systems.