Artificial Intelligence in Manufacturing 1st Edition

Capture the future of production with Artificial Intelligence in Manufacturing, 1st Edition by Masoud Soroush and Richard D. Braatz. This authoritative guide translates advanced AI concepts into practical strategies that engineers, plant managers, and data scientists can apply across modern factories and supply chains.

Explore how machine learning, deep learning, and predictive analytics are transforming process control, quality assurance, and maintenance. Clear, real-world examples show implementation of digital twins, anomaly detection, robotics integration, and adaptive control systems—helping you reduce downtime, improve yield, and accelerate time-to-market. Written for both technical practitioners and decision-makers, the book balances mathematical rigor with hands-on guidance and case-driven insights.

Benefit from the combined expertise of two respected authors who bridge control theory and AI applications to solve contemporary manufacturing challenges. Whether you operate in North America, Europe, or the Asia-Pacific region, this volume offers globally relevant methodologies tailored to regional production environments and regulatory considerations.

Perfect for industry professionals, graduate students, and R&D teams pursuing Industry 4.0 initiatives, this first edition equips readers to design robust predictive maintenance programs, optimize production lines with data-driven models, and scale smart factory solutions. Learn how to evaluate algorithms, integrate sensors and IoT data, and measure ROI for AI investments.

Bring clarity to complex AI deployments and turn data into measurable manufacturing value. Add Artificial Intelligence in Manufacturing to your library today and lead your organization into the era of intelligent production.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.