[PDF] Data-Driven Technologies and Artificial

Data-Driven Technologies and Artificial Intelligence in Supply Chain: Tools and Techniques by Mahesh Chand, Vineet Jain, Puneeta Ajmera

• Data-Driven Technologies and Artificial Intelligence in Supply Chain: Tools and Techniques
• Mahesh Chand, Vineet Jain, Puneeta Ajmera
• Page: 290
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781032611297
• Publisher: CRC Press

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

Amazon kindle books download pc Data-Driven Technologies and Artificial Intelligence in Supply Chain: Tools and Techniques 9781032611297

Overview

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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