Digital Transformation in Industrial and Logistics Systems: Applications to Automotive & Aeronautical Supply Chains (Lecture Notes in Networks and Systems, 1840)

This book provides decision-makers, researchers, and practitioners with actionable insights to create intelligent, resilient, and human-centered industrial and logistics systems in complex and uncertain environments. By bridging advanced digital technologies with operational and organizational challenges, it provides concrete frameworks, models, and case studies applicable to real industrial contexts.

The originality of this book lies in its integrated perspective, combining Industry 4.0 and Industry 5.0 principles with artificial intelligence, data analytics, quality management, sustainability, and ethical considerations. Instead of addressing these dimensions separately, the book highlights how their synergy enhances performance, resilience, and responsible value creation, particularly in automotive and aeronautical supply chains.

Covering a wide range of topics from AI-driven decision support and forecasting to digital maturity, standards, circular economy practices, and energy transition, this book covers both strategic and operational levels. It is intended for academics, Ph.D. students, engineers, supply chain managers, and policy-makers seeking evidence-based approaches, methodological guidance, and practical tools to support digital transformation initiatives and future-oriented industrial and logistics systems.

This book provides decision-makers, researchers, and practitioners with actionable insights to create intelligent, resilient, and human-centered industrial and logistics systems in complex and uncertain environments. By bridging advanced digital technologies with operational and organizational challenges, it provides concrete frameworks, models, and case studies applicable to real industrial contexts.

The originality of this book lies in its integrated perspective, combining Industry 4.0 and Industry 5.0 principles with artificial intelligence, data analytics, quality management, sustainability, and ethical considerations. Instead of addressing these dimensions separately, the book highlights how their synergy enhances performance, resilience, and responsible value creation, particularly in automotive and aeronautical supply chains.

Covering a wide range of topics from AI-driven decision support and forecasting to digital maturity, standards, circular economy practices, and energy transition, this book covers both strategic and operational levels. It is intended for academics, Ph.D. students, engineers, supply chain managers, and policy-makers seeking evidence-based approaches, methodological guidance, and practical tools to support digital transformation initiatives and future-oriented industrial and logistics systems.