Artificial Intelligence in Production Engineering and Management 1st Edition

Artificial Intelligence in Production Engineering and Management, 1st Edition by Carolina Machado and J. Paulo Davim is a contemporary guide that brings the power of AI to the factory floor. Clear, practical and research-informed, this book connects advanced machine learning and automation techniques with real-world production engineering and management challenges.

Start transforming operations with accessible explanations of neural networks, predictive maintenance, optimization algorithms, and data-driven decision-making tailored for manufacturing environments. Case studies and applied examples bridge theory and practice, illustrating how smart algorithms improve throughput, quality control, supply-chain resilience and energy efficiency across industries—from European automotive plants to Asian electronics fabs and North American precision manufacturing.

Engineers, production managers, industrial researchers and graduate students will find actionable frameworks for implementing AI-driven solutions: from sensor data fusion and anomaly detection to scheduling optimization and human–machine collaboration. The book emphasizes scalable strategies, ethical considerations, and measurable KPIs so teams can deploy AI responsibly and demonstrate ROI.

Whether you work in Industry 4.0 initiatives, digital transformation projects, or academic research, this edition equips you with tools to reduce downtime, cut costs and increase competitiveness in global markets. Written in an authoritative yet approachable style, it balances technical rigor with practical guidance.

Add Artificial Intelligence in Production Engineering and Management, 1st Edition to your professional library and start applying proven AI methods to modern manufacturing challenges—boost productivity, improve decision-making and lead innovation in production systems worldwide.

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