This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.

• "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"
• Emphasizes the impact of a data-driven supply chain on quality management
• "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"
• Highlights the barriers to implementing artificial intelligence in small and medium enterprises
• Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks

The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.

• "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"
• Emphasizes the impact of a data-driven supply chain on quality management
• "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"
• Highlights the barriers to implementing artificial intelligence in small and medium enterprises
• Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks

The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.

• "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"
• Emphasizes the impact of a data-driven supply chain on quality management
• "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"
• Highlights the barriers to implementing artificial intelligence in small and medium enterprises
• Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks

The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.