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

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.

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