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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.
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