Sustainable AI-Enabled Logistics in the Era of Smart Manufacturing

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Bol Sustainable AI-Enabled Logistics in the Era of Smart Manufacturing presents a comprehensive exploration of how artificial intelligence, smart manufacturing systems, and sustainable logistics are reshaping modern industrial operations. The book explains how real-time data, cyber-physical systems, and AI-driven decision-making enable intelligent, adaptive, and highly efficient production and supply chain networks. It highlights the integration of AI in logistics for demand forecasting, inventory optimization, route planning, and risk management, improving overall supply chain visibility and performance. The work also discusses Industry 5.0, emphasizing human-machine collaboration, ethical governance, and sustainability in industrial transformation. Furthermore, it addresses green logistics and carbon-neutral distribution systems through digital technologies such as AI, IoT, and blockchain. Challenges including data quality, cybersecurity, and skill gaps are also examined. This book serves as a valuable resource for researchers, practitioners, and policymakers aiming to understand and implement sustainable, intelligent, and future-ready manufacturing and logistics systems.

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Sustainable AI-Enabled Logistics in the Era of Smart Manufacturing presents a comprehensive exploration of how artificial intelligence, smart manufacturing systems, and sustainable logistics are reshaping modern industrial operations. The book explains how real-time data, cyber-physical systems, and AI-driven decision-making enable intelligent, adaptive, and highly efficient production and supply chain networks. It highlights the integration of AI in logistics for demand forecasting, inventory optimization, route planning, and risk management, improving overall supply chain visibility and performance. The work also discusses Industry 5.0, emphasizing human-machine collaboration, ethical governance, and sustainability in industrial transformation. Furthermore, it addresses green logistics and carbon-neutral distribution systems through digital technologies such as AI, IoT, and blockchain. Challenges including data quality, cybersecurity, and skill gaps are also examined. This book serves as a valuable resource for researchers, practitioners, and policymakers aiming to understand and implement sustainable, intelligent, and future-ready manufacturing and logistics systems.

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Pagina's: 224, Paperback, Notion Press Media Pvt. Ltd


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