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

Title: Data-Driven Technologies and Artificial Intelligence in Supply Chain : Tools and Techniques
Author: Mahesh Chand, Puneeta Ajmera, Vineet Jain
ISBN: 103242673X / 9781032426730
Format: Hard Cover
Pages: 290
Publisher: CRC Press
Year: 2024
Availability: 15-30 days

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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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Preface

Chapter 1 : A Human-Centered Approach to Artificial Intelligence in Supply Chain
Chapter 2 : A Proposed Artificial Intelligence and Blockchain Technique for Solving Health Insurance Challenges
Chapter 3 : Logistics Performance Measurement : A Data Envelopment Analysis Using The Logistics Performance Index 2018 Data
Chapter 4 : Artificial Intelligence to Complement Lean Approach in Healthcare Industry
Chapter 5 : Artificial Intelligence : A Rescuer to Vaccine’s Cold Chain
Chapter 6 : Leveraging the Potential of Artificial Intelligence in Healthcare Supply Chain Management
Chapter 7 : Artificial Intelligence Assisted Telemedicine : A Boon in Healthcare
Chapter 8 : The Landscape of Big Data and Supply Chain Management
Chapter 9 : The Emerging Roles of Artificial Intelligence in Chemistry and Drug Design
Chapter 10 : Impact of Data-Driven Supply Chain on Quality : Evidence from Medical Device Manufacturing Industry
Chapter 11 : Digital Supply Chain : Potentials, Capabilities and Risk Management Through Artificial Intelligence
Chapter 12 : Big Data Analytics Based Agro Advisory System for Crop Recommendation Using Spark Platform
Chapter 13 : Application of Artificial Intelligence in Small and Medium Enterprises - An Overview
Chapter 14 : Industry 4.0 and Sustainable Supply Chain : A Review and Future Research Agenda
Chapter 15 : Role of Artificial Intelligence in Supply Chain Management

Index