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Data-Driven Technologies and Artificial Intelligence in Supply Chain
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Data-Driven Technologies and Artificial Intelligence in Supply Chain : Tools and Techniques

Book Details

Format Hardback or Cased Book
ISBN-10 103242673X
ISBN-13 9781032426730
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 23rd, 2023
Print length 276 Pages
Weight 453 grams
Ksh 26,100.00
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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.

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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