Advanced Data Analytics for Smart Manufacturing

Advanced Data Analytics for Smart Manufacturing: Strategies for Solving Industrial Challenges Using IIoT and Data" is an essential resource for engineers, data scientists, and industry professionals who want to harness the power of analytics, Artificial Intelligence (AI), and the Industrial Internet of Things (IIoT) to drive smarter decision-making. In today's rapidly evolving Industry 4.0 landscape, data is the backbone of efficiency, quality, and innovation. This book provides readers with advanced strategies and tools to overcome industrial challenges, improve predictive maintenance, streamline automation, and unlock the full potential of smart manufacturing systems.

Grounded in real-world case studies, readers will gain practical knowledge about applying AI and ML to manufacturing processes, exploring how industrial analytics can transform operations across sectors such as automotive, aerospace, energy, and consumer goods. By integrating theory, methods, and applications, this book equips professionals with the ability to design scalable, data-driven solutions that increase productivity, minimize downtime, and support long-term competitiveness.

Inside this book, you will learn:

Comprehensive coverage of smart manufacturing analytics that goes beyond basic concepts, showing how advanced data analysis can identify hidden inefficiencies, optimize supply chains, and create adaptive industrial systems for Industry 4.0.

In-depth strategies for predictive maintenance using AI and machine learning, empowering organizations to reduce equipment failures, minimize downtime, and improve safety while cutting operational costs significantly.

Practical exploration of IIoT-enabled data integration across manufacturing networks, highlighting how connected machines, sensors, and real-time analytics create seamless, scalable, and intelligent production environments.

Detailed insights into AI-driven automation for industrial operations, demonstrating how machine learning models and data analytics streamline workflows, improve quality control, and enhance decision-making in complex systems.

Case studies and applications of industrial analytics across diverse sectors, offering readers practical examples of how advanced data tools are transforming industries ranging from automotive to energy, with measurable performance gains.