Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains.
Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.
Author(s): Priyanka Chawla, Adarsh Kumar, Anand Nayyar, Mohd Naved
Series: Innovations in Intelligent Internet of Everything (IoE)
Publisher: CRC Press
Year: 2023
Language: English
Pages: 294
City: Boca Raton
Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
About the Editors
Contributors
1. Fundamentals of IoT, Artificial Intelligence, and Blockchain Approaches for Applications in Supply Chain Management
1.1 Introduction
1.2 Fundaments of IoT, Artificial Intelligence, and Blockchain Approaches
1.2.1 Essentials of IoT
1.2.2 Highlights of Artificial Intelligence
1.2.2.1 Data Access in Real Time
1.2.2.2 Information from the Public (Multi-Party)
1.2.2.3 Participating in a Game
1.2.2.4 Speech Recognition
1.2.3 Fundamental of Blockchain Approaches
1.3 The Intersection of Blockchain, Internet of Things (IoT), and Artificial Intelligence in Supply Chain Management
1.3.1 Improving Data Standardization, Privacy, Security, and Scalability
1.3.1.1 Standardization of Data
1.3.1.2 Privacy
1.3.1.3 Security
1.3.1.4 Scalability
1.3.2 Using a Blockchain-Based Identity for Authentication
1.3.3 Five Stages of Supply Chain Management
1.3.4 Areas of Expertise in Supply Chain Management
1.3.4.1 Make the Transition to Real-Time Supply Chain Planning
1.3.4.2 Supply Chain and Enterprise Planning Should Be Combined
1.3.4.3 Get Ready for the Demands of the End Consumers
1.3.4.4 Utilize Real-Time Data at Every Stage of the Supply Chain
1.3.5 Applications in Supply Chain Management Using Blockchain Approaches
1.4 IoT, Artificial Intelligence, and Blockchain-Based Supply Chain Management: Architectural Description
1.4.1 Proposed Supply Chain Structure and Data Preservation Approach
1.4.2 McEliece Cryptosystem
1.4.3 Optimized Secure Data Transmission
1.4.4 Security Issues in Supply Chain Management for Information Exchange
1.5 Case Studies
1.5.1 Case Study on Supply Chain Traceability
1.5.2 Case Study on Blockchain-Based Agri-Food Supply Chain Management in China
1.5.3 Case Study on Blockchain-Based Supply Chain for Transaction Process Automation
1.6 Conclusion and Future Scope
References
2. Blockchain, IoT, and Artificial Intelligence Technologies for Supply Chain Management: Bibliometric Analysis
2.1 Introduction
2.2 Background of the Study
2.2.1 Blockchain
2.2.2 Internet of Things (IoT)
2.2.3 Artificial Intelligence
2.2.4 Supply Chain Management (SCM)
2.3 Related Works
2.4 Methodology
2.4.1 Research Design
2.4.2 Data Collection
2.4.3 Data Analysis
2.5 Findings
2.5.1 Co-Occurrence/Author Keywords
2.5.2 Attribution/Sources
2.5.3 Bibliographic Link/Country
2.6 Discussion
2.7 Conclusion and Future Scope
References
3. Complete Scenario for Supply Chain Management Using IoT and 5G
3.1 Introduction
3.1.1 Internet of Things (IoT)
3.1.2 Features of IoT
3.1.3 Advantages of IoT
3.1.4 Disadvantages of IoT
3.1.5 Applications of IoT
3.1.6 Introduction of 5G Technologies
3.1.7 Introduction of Supply Chain Management
3.1.8 Flows in the Supply Chain
3.1.9 Features of Effective SCM
3.1.10 The Evolution of Supply Chain Management
3.1.11 The Importance of Supply Chain Management
3.1.12 The Supply Chain and IoT
3.1.13 Integrating SCM with IoT
3.1.14 5G and IoT: Emerging Technologies with Endless Use Cases
3.1.15 New Supply Chain Challenges: 5G, IoT, and Beyond
3.1.16 Optimization of Shipping via Telemetric
3.1.17 Logistical Software Innovation Achieves Breakthrough
3.2 Literature Review
3.3 Research Methodology
3.4 Proposed Work
3.4.1 Process Flow of Proposed Work
3.4.2 Question Category
3.4.2.1 Category 1 Questions (General Question Awareness)
3.4.2.2 Category 2 Questions (to Test Interest)
3.4.2.3 Category 3 Questions (to Know Their Experience)
3.4.2.4 Category 4 Questions (to Know Their Preference)
3.4.3 Data Collection for Category 1
3.4.4 Data Collection for Category 2
3.4.5 Data Collection for Category 3
3.4.6 Data Collection for Category 4
3.5 Findings
3.6 Significance of Research
3.7 Conclusion and Future Scope
References
4. Impact of Artificial Intelligence on Agriculture Value Chain Performance: Agritech Perspective
4.1 Introduction
4.2 Review of Literature
4.3 Research Methodology
4.4 Results and Discussion
4.4.1 Ranking of AI Value Chain Performance
4.4.2 Analysis of Agritech Industry Profile and AI Value Chain Performance
4.4.3 Association between Value Chain Position and AI Dimensions
4.4.4 AI Value Chain Performance
4.4.5 Value Chain Performance Dimension Analysis
4.4.5.1 Factorization of Value Chain Performance
4.4.5.1.1 Sustainability-Related Factors
4.4.5.1.2 Quality Performance-Related Factors
4.4.5.1.3 Production Performance-Related Factors
4.4.5.1.4 Operation Performance-Related Factors
4.4.5.1.5 Sales and Distribution Performance-Related Factors
4.4.5.1.6 Retail Performance-Related Factors
4.4.5.2 Ranking of Value Chain Performance Factors
4.4.5.3 Segmentation of Value Chain Performance
4.4.5.3.1 Very High-Value Chain Performance
4.4.5.3.2 High-Value Chain Performance Units
4.4.5.3.3 Moderate Value Chain Performance Units
4.4.5.4 Characteristics of Value Chain Performance
4.4.5.5 Relationship between Value Chain Performance and Profile of Manufacturing Industries
4.4.5.5.1 Value Chain Position
4.4.5.5.2 Agritech Category
4.4.5.5.3 Canonical Correlation between Value Chain Performance and Agritech Industries Profile Variables
4.5 Conclusions and Implications
References
5. Applications of Artificial Intelligence of Things in Green Supply Chain Management: Challenges and Future Directions
5.1 Introduction
5.1.1 Concept of Supply Chain
5.1.2 Concept of Artificial Intelligence
5.1.3 Concept of Internet of Things (IoT)
5.1.3.1 How Does IoT Work?
5.1.3.2 Applications of AIoT
5.1.4 Supply Chain Management
5.1.5 Practices of Green Supply Chain Management (GSCM)
5.1.6 Application of AIoT in Sustainable Development
5.2 Literature Review
5.3 Research Methodology
5.3.1 Proposed Work
5.4 Results and Discussion
5.4.1 Real-Time Medical Care Shipment and Location Tracking for HST and Medical Logistics
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
5.4.3 Application of AIoT for Predicting the MS Movement and Arrival
5.4.4 Improving Potential Planning in HST by the Application of AIoT
5.4.5 Green AIoT-Based SCM Framework
5.4.6 AIoT and Green Design in HST
5.4.7 AIoT in Green Materials in HST
5.4.8 AIoT in Green Production in HST
5.5 Analysis
5.6 Conclusion and Future Scope
References
6. Effects on Supply Chain Management Due to COVID-19
6.1 Introduction
6.1.1 Factors Affecting Supply Chain Management
6.1.2 Challenges after Pandemic
6.2 Literature Review
6.3 Material and Methods
6.3.1 Materials
6.3.2 Methods
6.3.2.1 Suggestions
6.4 Results and Discussion
6.5 Conclusion and Future Scope
References
7. Artificial Intelligence from Vaccine Development to Pharmaceutical Supply Chain Management in Post-COVID-19 Period
7.1 Introduction to Indian Pharmaceutical Industry
7.1.1 Indian Pharmaceutical Market Size
7.1.2 Pharmaceutical Export
7.1.3 Indian Pharma Road Ahead
7.1.4 Pharmaceutical Supply Chain Disruption Due to COVID-19
7.2 Literature Review
7.3 Application of Artificial Intelligence (AI) in Antiviral Drug Discovery
7.4 Vaccine Development with AI Application
7.5 Predicting Viral Mutation Through AI Applications
7.6 Pharmaceutical Supply Chain Transformation with AI
7.7 AI and Blockchain Technology Role in Implementing an Intelligent Supply Chain
7.7.1 Tracing Medicine in Pharmaceutical Supply Chain System
7.7.2 Advantages of Blockchain System in the Pharmaceutical Supply Chain Process
7.7.3 Drug Information System Design to Enable a Blockchain System
7.8 AI Application Challenges and Limitations in Health Care
7.9 Case Study: How Blockchain Technology Preventing Counterfeit Drugs in Pharmaceutical Supply Chain System
7.10 Conclusion and Future Scope
References
8. Blockchain for SCM: A Prospective Study Based on a Panel of Literature Reviews
8.1 Introduction
8.2 Conceptual Framework of the Study
8.2.1 Problem Definition
8.2.2 Ecosystem and Determining Blockchain Innovations in SCM
8.3 Research Methodology
8.3.1 Prospective Study
8.3.2 Methodology Choosing Articles
8.4 Basic Features and Factors Influencing the Adoption of Blockchain Technology in SCM
8.4.1 Blockchain: An Underlying Structure of Trust
8.4.2 Blockchain's Functionality and Adoption Ecosystem in the SCM Industry
8.4.3 History and Factors Influencing Industry 4.0 and SCM
8.5 Basic Projections
8.6 Analysis and Results
8.7 Limitations of the Study
8.8 Conclusion and Future Scope
References
9. A Blockchain-Based Framework for Circular Plastic Waste Supply Chain Management in India: A Case Study of Kolkata, India
9.1 Introduction
9.2 Methodology
9.3 Existing Plastic Waste SCN in India
9.3.1 Issues and Challenges in the Plastic Waste SCN in India
9.4 Case Study
9.5 Discussion and Analysis
9.5.1 Chain Description
9.5.2 Transaction and Block Structure
9.5.2.1 Transaction Definition
9.5.2.2 Block Structure
9.5.3 Systematic Analysis
9.5.4 Proposed Framework for Circular Economy
9.5.5 Sustainability Analysis
9.5.5.1 Environmental Sustainability
9.5.5.2 Economic Sustainability
9.5.5.3 Social Sustainability
9.6 Conclusion and Future Scope
References
10. Supply Chain Management-Based Transportation System Using IoT and Blockchain Technology
10.1 Introduction
10.2 Blockchain and Supply Chain Management Trends in a Business Life Cycle
10.2.1 The Management of the Supply Chain Process
10.2.1.1 Planning
10.2.1.2 Sourcing
10.2.1.3 Manufacturing
10.2.1.4 Delivery and Logistics
10.2.1.5 Returning
10.2.2 Blockchain Technology
10.2.2.1 Background of SCM and Blockchain
10.2.2.2 Blockchain Properties
10.2.2.2.1 Decentralization
10.2.2.2.2 Immutability
10.2.2.2.3 Authentication Based on Cryptography
10.2.3 Blockchain-Based Supply Chain
10.2.3.1 The Current Supply Chain Benefits from Using Blockchain Technology
10.2.4 IoT Overview
10.2.4.1 Characteristics of IoT System
10.2.5 E-Commerce
10.2.5.1 Best E-Commerce Platforms
10.2.5.1.1 Amazon
10.2.5.1.2 Walmart
10.2.5.1.3 Alibaba
10.2.5.1.4 eBay
10.2.5.2 Characteristics of Online Business
10.2.6 IoT's Role in E-Commerce
10.2.6.1 In E-Commerce, the Function of IoT
10.2.6.2 E-Commerce with the Internet of Things for Disabled People
10.2.6.3 Internet of Things (IoT): Security Challenges, Business Opportunities for E-Commerce
10.3 Literature Review
10.4 Analysis and Discussion
10.4.1 Blockchain Technology in Supply Chain
10.4.2 Research Methods and Operational Efficiency
10.4.3 Trust and Transparency
10.4.4 Information Exchange Efficiency
10.4.5 Tracing and Tracking
10.4.6 Other Factors
10.5 Case Study
10.5.1 The Obstacle of Cost Reduction Along the Supply Chain
10.5.2 The Way to Make Costs Less Expensive
10.5.3 Management of Costs in the Supply Chain Results
10.6 Conclusion and Future Scope
References
11. Perspective Analysis of Three Types of Services on a Queueing-Inventory System with a Sharing Buffer for Two Classes of Customers
11.1 Introduction
11.2 Description of the Mathematical Model
11.3 Solution of the Mathematical Model
11.3.1 Steady-State Equations
11.4 System Characteristics
11.5 Cost Analysis of the Model
11.6 Numerical Discussions
11.6.1 Managerial Insights
11.7 Conclusion and Future Scope
References
12. Ensuring Provenance and Traceability in a Pharmaceutical Supply Chain Using Blockchain and Internet of Things
12.1 Introduction
12.1.1 Objectives
12.1.2 Trust and Transparency
12.1.3 Visibility and Data Privacy
12.1.4 Secured Tamper-Proof Records
12.2 Pharmaceutical Ecosystem
12.2.1 Drug Discovery
12.2.2 Drug Manufacturing
12.2.3 Drug Distribution
12.3 Existing Technologies
12.3.1 Visibility Technologies
12.3.1.1 Holograms
12.3.1.2 Radio Frequency Identification (RFID)
12.3.1.3 Barcodes
12.3.2 Temperature Monitoring Sensors for Cold Supply Chain
12.3.2.1 Electronic Freeze Indicator
12.3.2.2 Cold Chain Monitor
12.3.2.3 Vaccine Vial Monitor
12.3.2.4 Electronic Shipping Indicator
12.4 Counterfeit Drug Supply - A Global Threat
12.4.1 Impact of Substandard/Falsified Drugs Supply
12.4.1.1 Impact on Public Health
12.4.1.2 Impact on Economy
12.4.1.3 Socioeconomic Impact
12.5 Blockchain - A Distributed Digital Ledger
12.5.1 Data Structures
12.5.2 Reference Model and Concepts
12.5.3 Types of Blockchain Implementation
12.5.4 Requirements for Enterprise Blockchain Application
12.5.5 Blockchain Strenghthens IoT
12.6 Open Challenges and Discussions
12.7 Conclusion and Future Scope
References
Index
