Blockchain, IoT, and AI Technologies for Supply Chain Management

Blockchain, IoT, and AI Technologies for Supply Chain Management

by Priyanka Chawla, Adarsh Kumar, Anand Nayyar, Mohd Naved
Released May 2023
Publisher(s): CRC Press
ISBN: 9781000855074

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Book description

This book discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. Also, a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, etc.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. Chapter 1 Fundamentals of IoT, Artificial Intelligence, and Blockchain Approaches for Applications in Supply Chain Management
    1. 1.1 Introduction
    2. 1.2 Fundaments of IoT, Artificial Intelligence, and Blockchain Approaches
      1. 1.2.1 Essentials of IoT
      2. 1.2.2 Highlights of Artificial Intelligence
      3. 1.2.3 Fundamental of Blockchain Approaches
    3. 1.3 The Intersection of Blockchain, Internet of Things (IoT), and Artificial Intelligence in Supply Chain Management
      1. 1.3.1 Improving Data Standardization, Privacy, Security, and Scalability
      2. 1.3.2 Using a Blockchain-Based Identity for Authentication
      3. 1.3.3 Five Stages of Supply Chain Management
      4. 1.3.4 Areas of Expertise in Supply Chain Management
      5. 1.3.5 Applications in Supply Chain Management Using Blockchain Approaches
    4. 1.4 IoT, Artificial Intelligence, and Blockchain-Based Supply Chain Management: Architectural Description
      1. 1.4.1 Proposed Supply Chain Structure and Data Preservation Approach
      2. 1.4.2 McEliece Cryptosystem
      3. 1.4.3 Optimized Secure Data Transmission
      4. 1.4.4 Security Issues in Supply Chain Management for Information Exchange
    5. 1.5 Case Studies
      1. 1.5.1 Case Study on Supply Chain Traceability
      2. 1.5.2 Case Study on Blockchain-Based Agri-Food Supply Chain Management in China
      3. 1.5.3 Case Study on Blockchain-Based Supply Chain for Transaction Process Automation
    6. 1.6 Conclusion and Future Scope
    7. References
  11. Chapter 2 Blockchain, IoT, and Artificial Intelligence Technologies for Supply Chain Management: Bibliometric Analysis
    1. 2.1 Introduction
    2. 2.2 Background of the Study
      1. 2.2.1 Blockchain
      2. 2.2.2 Internet of Things (IoT)
      3. 2.2.3 Artificial Intelligence
      4. 2.2.4 Supply Chain Management (SCM)
    3. 2.3 Related Works
    4. 2.4 Methodology
      1. 2.4.1 Research Design
      2. 2.4.2 Data Collection
      3. 2.4.3 Data Analysis
    5. 2.5 Findings
      1. 2.5.1 Co-Occurrence/Author Keywords
      2. 2.5.2 Attribution/Sources
      3. 2.5.3 Bibliographic Link/Country
    6. 2.6 Discussion
    7. 2.7 Conclusion and Future Scope
    8. References
  12. Chapter 3 Complete Scenario for Supply Chain Management Using IoT and 5G
    1. 3.1 Introduction
      1. 3.1.1 Internet of Things (IoT)
      2. 3.1.2 Features of IoT
      3. 3.1.3 Advantages of IoT
      4. 3.1.4 Disadvantages of IoT
      5. 3.1.5 Applications of IoT
      6. 3.1.6 Introduction of 5G Technologies
      7. 3.1.7 Introduction of Supply Chain Management
      8. 3.1.8 Flows in the Supply Chain
      9. 3.1.9 Features of Effective SCM
      10. 3.1.10 The Evolution of Supply Chain Management
      11. 3.1.11 The Importance of Supply Chain Management
      12. 3.1.12 The Supply Chain and IoT
      13. 3.1.13 Integrating SCM with IoT
      14. 3.1.14 5G and IoT: Emerging Technologies with Endless Use Cases
      15. 3.1.15 New Supply Chain Challenges: 5G, IoT, and Beyond
      16. 3.1.16 Optimization of Shipping via Telemetric
      17. 3.1.17 Logistical Software Innovation Achieves Breakthrough
    2. 3.2 Literature Review
    3. 3.3 Research Methodology
    4. 3.4 Proposed Work
      1. 3.4.1 Process Flow of Proposed Work
      2. 3.4.2 Question Category
      3. 3.4.3 Data Collection for Category 1
      4. 3.4.4 Data Collection for Category 2
      5. 3.4.5 Data Collection for Category 3
      6. 3.4.6 Data Collection for Category 4
    5. 3.5 Findings
    6. 3.6 Significance of Research
    7. 3.7 Conclusion and Future Scope
    8. References
  13. Chapter 4 Impact of Artificial Intelligence on Agriculture Value Chain Performance: Agritech Perspective
    1. 4.1 Introduction
    2. 4.2 Review of Literature
    3. 4.3 Research Methodology
    4. 4.4 Results and Discussion
      1. 4.4.1 Ranking of AI Value Chain Performance
      2. 4.4.2 Analysis of Agritech Industry Profile and AI Value Chain Performance
      3. 4.4.3 Association between Value Chain Position and AI Dimensions
      4. 4.4.4 AI Value Chain Performance
      5. 4.4.5 Value Chain Performance Dimension Analysis
    5. 4.5 Conclusions and Implications
    6. References
  14. Chapter 5 Applications of Artificial Intelligence of Things in Green Supply Chain Management: Challenges and Future Directions
    1. 5.1 Introduction
      1. 5.1.1 Concept of Supply Chain
      2. 5.1.2 Concept of Artificial Intelligence
      3. 5.1.3 Concept of Internet of Things (IoT)
      4. 5.1.4 Supply Chain Management
      5. 5.1.5 Practices of Green Supply Chain Management (GSCM)
      6. 5.1.6 Application of AIoT in Sustainable Development
    2. 5.2 Literature Review
    3. 5.3 Research Methodology
      1. 5.3.1 Proposed Work
    4. 5.4 Results and Discussion
      1. 5.4.1 Real-Time Medical Care Shipment and Location Tracking for HST and Medical Logistics
      2. 5.4.2 Monitor the Storage Status of the Medical Supplies During Shipment by AIoT to Ensure It Is Environmentally Friendly and Enhance the Application of GSCM
      3. 5.4.3 Application of AIoT for Predicting the MS Movement and Arrival
      4. 5.4.4 Improving Potential Planning in HST by the Application of AIoT
      5. 5.4.5 Green AIoT-Based SCM Framework
      6. 5.4.6 AIoT and Green Design in HST
      7. 5.4.7 AIoT in Green Materials in HST
      8. 5.4.8 AIoT in Green Production in HST
    5. 5.5 Analysis
    6. 5.6 Conclusion and Future Scope
    7. References
  15. Chapter 6 Effects on Supply Chain Management due to COVID-19
    1. 6.1 Introduction
      1. 6.1.1 Factors Affecting Supply Chain Management
      2. 6.1.2 Challenges after Pandemic
    2. 6.2 Literature Review
    3. 6.3 Material and Methods
      1. 6.3.1 Materials
      2. 6.3.2 Methods
    4. 6.4 Results and Discussion
    5. 6.5 Conclusion and Future Scope
    6. References
  16. Chapter 7 Artificial Intelligence from Vaccine Development to Pharmaceutical Supply Chain Management in Post-COVID-19 Period
    1. 7.1 Introduction to Indian Pharmaceutical Industry
      1. 7.1.1 Indian Pharmaceutical Market Size
      2. 7.1.2 Pharmaceutical Export
      3. 7.1.3 Indian Pharma Road Ahead
      4. 7.1.4 Pharmaceutical Supply Chain Disruption Due to COVID-19
    2. 7.2 Literature Review
    3. 7.3 Application of Artificial Intelligence (AI) in Antiviral Drug Discovery
    4. 7.4 Vaccine Development with AI Application
    5. 7.5 Predicting Viral Mutation Through AI Applications
    6. 7.6 Pharmaceutical Supply Chain Transformation with AI
    7. 7.7 AI and Blockchain Technology Role in Implementing an Intelligent Supply Chain
      1. 7.7.1 Tracing Medicine in Pharmaceutical Supply Chain System
      2. 7.7.2 Advantages of Blockchain System in the Pharmaceutical Supply Chain Process
      3. 7.7.3 Drug Information System Design to Enable a Blockchain System
    8. 7.8 AI Application Challenges and Limitations in Health Care
    9. 7.9 Case Study: How Blockchain Technology Preventing Counterfeit Drugs in Pharmaceutical Supply Chain System
    10. 7.10 Conclusion and Future Scope
    11. References
  17. Chapter 8 Blockchain for SCM: A Prospective Study Based on a Panel of Literature Reviews
    1. 8.1 Introduction
    2. 8.2 Conceptual Framework of the Study
      1. 8.2.1 Problem Definition
      2. 8.2.2 Ecosystem and Determining Blockchain Innovations in SCM
    3. 8.3 Research Methodology
      1. 8.3.1 Prospective Study
      2. 8.3.2 Methodology Choosing Articles
    4. 8.4 Basic Features and Factors Influencing the Adoption of Blockchain Technology in SCM
      1. 8.4.1 Blockchain: An Underlying Structure of Trust
      2. 8.4.2 Blockchain's Functionality and Adoption Ecosystem in the SCM Industry
      3. 8.4.3 History and Factors Influencing Industry 4.0 and SCM
    5. 8.5 Basic Projections
    6. 8.6 Analysis and Results
    7. 8.7 Limitations of the Study
    8. 8.8 Conclusion and Future Scope
    9. References
  18. Chapter 9 A Blockchain-Based Framework for Circular Plastic Waste Supply Chain Management in India: A Case Study of Kolkata, India
    1. 9.1 Introduction
    2. 9.2 Methodology
    3. 9.3 Existing Plastic Waste SCN in India
      1. 9.3.1 Issues and Challenges in the Plastic Waste SCN in India
    4. 9.4 Case Study
    5. 9.5 Discussion and Analysis
      1. 9.5.1 Chain Description
      2. 9.5.2 Transaction and Block Structure
      3. 9.5.3 Systematic Analysis
      4. 9.5.4 Proposed Framework for Circular Economy
      5. 9.5.5 Sustainability Analysis
    6. 9.6 Conclusion and Future Scope
    7. References
  19. Chapter 10 Supply Chain Management–Based Transportation System Using IoT and Blockchain Technology
    1. 10.1 Introduction
    2. 10.2 Blockchain and Supply Chain Management Trends in a Business Life Cycle
      1. 10.2.1 The Management of the Supply Chain Process
      2. 10.2.2 Blockchain Technology
      3. 10.2.4 IoT Overview
      4. 10.2.5 E-Commerce
      5. 10.2.6 IoT's Role in E-Commerce
    3. 10.3 Literature Review
    4. 10.4 Analysis and Discussion
      1. 10.4.1 Blockchain Technology in Supply Chain
      2. 10.4.2 Research Methods and Operational Efficiency
      3. 10.4.3 Trust and Transparency
      4. 10.4.4 Information Exchange Efficiency
      5. 10.4.5 Tracing and Tracking
      6. 10.4.6 Other Factors
    5. 10.5 Case Study
      1. 10.5.1 The Obstacle of Cost Reduction Along the Supply Chain
      2. 10.5.2 The Way to Make Costs Less Expensive
      3. 10.5.3 Management of Costs in the Supply Chain Results
    6. 10.6 Conclusion and Future Scope
    7. References
  20. Chapter 11 Perspective Analysis of Three Types of Services on a Queueing-Inventory System with a Sharing Buffer for Two Classes of Customers
    1. 11.1 Introduction
    2. 11.2 Description of the Mathematical Model
    3. 11.3 Solution of the Mathematical Model
      1. 11.3.1 Steady-State Equations
    4. 11.4 System Characteristics
    5. 11.5 Cost Analysis of the Model
    6. 11.6 Numerical Discussions
      1. 11.6.1 Managerial Insights
    7. 11.7 Conclusion and Future Scope
    8. References
  21. Chapter 12 Ensuring Provenance and Traceability in a Pharmaceutical Supply Chain Using Blockchain and Internet of Things
    1. 12.1 Introduction
      1. 12.1.1 Objectives
      2. 12.1.2 Trust and Transparency
      3. 12.1.3 Visibility and Data Privacy
      4. 12.1.4 Secured Tamper-Proof Records
    2. 12.2 Pharmaceutical Ecosystem
      1. 12.2.1 Drug Discovery
      2. 12.2.2 Drug Manufacturing
      3. 12.2.3 Drug Distribution
    3. 12.3 Existing Technologies
      1. 12.3.1 Visibility Technologies
      2. 12.3.2 Temperature Monitoring Sensors for Cold Supply Chain
    4. 12.4 Counterfeit Drug Supply – A Global Threat
      1. 12.4.1 Impact of Substandard/Falsified Drugs Supply
    5. 12.5 Blockchain – A Distributed Digital Ledger
      1. 12.5.1 Data Structures
      2. 12.5.2 Reference Model and Concepts
      3. 12.5.3 Types of Blockchain Implementation
      4. 12.5.4 Requirements for Enterprise Blockchain Application
      5. 12.5.5 Blockchain Strenghthens IoT
    6. 12.6 Open Challenges and Discussions
    7. 12.7 Conclusion and Future Scope
    8. References
  22. Index

Product information

  • Title: Blockchain, IoT, and AI Technologies for Supply Chain Management
  • Author(s): Priyanka Chawla, Adarsh Kumar, Anand Nayyar, Mohd Naved
  • Release date: May 2023
  • Publisher(s): CRC Press
  • ISBN: 9781000855074