Samya Dahbi – författare

This book aims to provide recent achievements in the efficient design and operation of industrial and logistics systems. To achieve excellence, digital transformation is currently an essential path for systems reengineering. This path is still in an exploratory phase for industrial and logistics systems, as they cover a wide range of sectors and are composed of several complementary views.Thus, this book reconciles classic methods with modern ones based on digital transformation and Industry 4.0 technologies, which aim to optimize, improve, restructure, and evaluate a broad scope of systems, focusing on their four complementary views: operational, informational, technological, and decisional.It is intended for researchers and postgraduates in industrial engineering and logistics, professionals in senior management positions in industrial and logistics companies, as well as undergraduates in industrial and logistics engineering programs.

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.