Data-Driven Technologies and Artificial Intelligence in Supply Chain : Tools and Techniques
Book Details
Format
Paperback / Softback
ISBN-10
1032611294
ISBN-13
9781032611297
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 26th, 2025
Print length
276 Pages
Weight
440 grams
Product Classification:
Product designProject managementProduction & quality control managementProduction and quality control managementPurchasing & supply managementPurchasing and supply managementOwnership & organization of enterprisesOwnership and organization of enterprisesEngineering: generalAutomatic control engineeringHydraulic engineeringDigital and Information technology: general topicsInformation technology: general issuesComputer science
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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 enterprisesPresents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risksThe 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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