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Blockchain, IoT, and AI Technologies for Supply Chain Management



  • Available for pre-order on March 21, 2023. Item will ship after April 11, 2023
ISBN 9781032206400
April 11, 2023 Forthcoming by CRC Press
320 Pages 126 B/W Illustrations

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Book Description

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 distribution, costs, and the overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains.

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. 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, will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. This book 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 are also able to use this publication as a reference book. This book would present 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.

Table of Contents

1. Fundamentals of IoT, Artificial Intelligence, and Blockchain Approaches for Applications in Supply Chain Management by Padmavathi V, Saminathan R.

1.1 Introduction

1.2 Fundaments of IoT, Artificial Intelligence and Blockchain Approaches

1.3 The Intersection of Blockchain, Internet of Things, and Artificial Intelligence in Supply Chain Management.

1.4 IoT, Artificial Intelligence and Blockchain based Supply Chain Management: Architectural Description

1.5 Case Studies

1.6 Conclusion and Future Scope

2. Blockchain, IoT, AI Technologies for Supply Chain Management: Bibliometric Analysis by Esra ÖZMEN, Nurbahar BORA.

2.1 Introduction

2.2 Background of Study

2.3 Related Works

2.4 Methodology

2.5 Findings

2.6 Discussion

2.7 Conclusion and Future Scope

3. Complete Scenario for Supply Chain Management using IoT and 5G by Jay Kumar Pandey, Vandana B Patil, Kukati Aruna Kumari, Santanu Das, Arpit Namdev, Praful Nandankar, Ankur Gupta.

3.1 Introduction

3.2 Literature Review

3.3 Research Methodology

3.4 Proposed Work

3.5 Findings

3.6 Significance of Research

3.7 Conclusion and Future Scope

4. Impact on Artificial Intelligence on Agriculture Value Chain Performance: Agritech Perspective by C. Ganeshkumar, Jeganthan Gomathi Sarkar, Arokiaraj David.

4.1 Introduction

4.2 Review of Literature

4.3 Research Methodology

4.4 Results and Discussion

4.5 Conclusions and Implications

5. Applications of Artificial Intelligence of Things in Green Supply Chain Management: Challenges and Future Directions by Arshi Naim, Hamed Alqahtani, Sadaf Fatima, Mohammad Faiz Khan.

5.1 Introduction

5.2 Literature Review

5.3 Research Methodology

5.4 Results and Discussion

5.5 Analysis

5.6 Conclusion and Future Scope

6. Effects on Supply Chain Management due to COVID-19 by Shipra Gupta, Vijay Kumar.

6.1 Introduction

6.2 Literature Review

6.3 Materials and Methods

6.4 Observations

6.5 Results and Discussion

6.6 Conclusion and Future Scope

7. Artificial Intelligence from Vaccine Development to Pharmaceutical Supply Chain Management in Post COVID-19 Period by Abhishek Dadhich, Priyanka Dadhich.

7.1 Introduction to Pharmaceutical Industry

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 Application

7.6 Pharmaceutical Supply Chain Transformation with AI

7.7 AI and Block Chain Technology Role in Implementing an Intelligent Supply Chain

7.8 AI Application Challenges and Limitations in Healthcare

7.9 Case study: How Block Chain Technology Preventing Counter-Fit Drugs in Pharmaceutical Supply Chain System

7.10 Conclusion and Future Scope

8. Blockchain for SCM: A Prospective Study based on a Panel of Literature Reviews by Mostafa Qandoussi, Pr Abdellah Houssaini.

8.1 Introduction

8.2 Conceptual Framework of the Study

8.3 Research Methodology

8.4 Basic Features and Factors influencing the adoption of Blockchain Technology in SCM

8.5 Basic Projections

8.6 Analysis and Results

8.7 Limitations of Study

8.8 Conclusion and Future Scope

9. A Blockchain-based framework for Circular Plastic Waste Supply Chain Management in India: A Case Study of Kolkata, India by Biswajit Debnath, Ankita Das, Adrija Das, Abhijit Das.

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

9.6 Conclusion and Future Scope

10. Blockchain-Driven Supply Chain Finance by Rahul Thakur, Anchal Rana, Priyanka Chawla.

10.1 Introduction

10.2 Literature Review

10.3 Methodology

10.4 Limitations

10.5 Conclusion and Future Scope

11. Supply Chain Management Based Transportation Using IoT and Blockchain Technology by Ahmed Mateen Buttar, Mahneer Bano, Amna Khalid.

11.1 Introduction

11.2-Blockchain and supply chain management trends in business lifecycle:

11.3 Literature Review

11.4 Analysis and discussion

11.5- Case Study

11.6 Conclusion and future scope

12. Perspective Analysis of Three Types of Services on a Queueing-Inventory System with a Sharing Buffer for a Two Class of Customers by K. Jeganathan, K. Prasanna Lakshmi, S. Selvakumar, T. Harikrishnan, D. Nagarajan.

12.1 Introduction

12.2 Description of the Mathematical Model

12.3 Solution of the Mathematical Model

12.4 System Characteristics

12.5 Cost Analysis of the Model

12.6 Numerical Discussions

12.7 Conclusions and Future Directions

13. Ensuring Provenance and Traceability in Pharmaceutical Supply Chain using Blockchain and Internet of Things by Anna N Kurian, Joby P P , Tomina Anoop, and Allen Mathew.

13.1 Introduction

13.2 Pharmaceutical Ecosystem

13.3 Existing Technologies

13.4 Counterfeit Drug Supply- A Global Threat

13.5 Blockchain- A Distributed Digital Ledger

13.6 Open Challenges and Discussions

13.7 Conclusion and Future Scope.

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Editor(s)

Biography

Dr. Priyanka Chawla is working as an Associate Professor in the Department of Computer Science and Engineering, NIT, Warangal, India. She earned her PhD degree from Thapar University, Patiala, Punjab, India. Apart from the teaching duties, she is also involved in various research activities. She is inspired to strive for success in the three major areas of academe: teaching, research and service. Her research interests lie in the area of Internet of Things, Blockchain, Artificial Intelligence, Big data, Data Science and Sustainable development. She has several publications in reputed national and international journals and conferences. She is on the editorial board of many reputed journals. She is also the reviewer for many reputed journals and the member of the organizing committee for several conferences and workshops. She has successfully completed various certifications in the field of education. She is a member of reputed professional bodies like ISTE, ISC etc.

Dr. Adarsh Kumar is an Associate Professor in the School of Computer Science with University of Petroleum & Energy Studies, Dehradun, India. He received his Master degree (M. Tech) in Software Engineering from Thapar University, Patiala, Punjab, India and earned his PhD degree from Jaypee Institute of Information Technology University, Noida, India followed by Post-Doc from Software Research Institute, Athlone Institute of Technology, Ireland. From 2005 to 2016, he has been associated with the Department of Computer Science Engineering & Information Technology, Jaypee Institute of Information Technology, Noida, Uttar-Pardesh, India, where he worked as Assistant Professor. His main research interests are cybersecurity, cryptography, network security, and ad-hoc networks. He has many research papers in reputed journals, conferences and workshops. He participated in one European Union H2020 sponsored research project and he is currently executing two research projects sponsored from UPES SEED division and one sponsored from Lancaster University.

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Assistant Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 100+ Professional certificates from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 140+ Research Papers in various High-Quality Web of Science, ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS, WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 6800+, H-Index: 42 and I-Index: 150. Member of more than 60+ Associations as Senior and Life Member including IEEE, ACM. He has authored/co-authored cum Edited 40+ Books of Computer Science. Associated with more than 500+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 4 German Patents , 1 Japanese Patent, 11 Indian Design cum Utility Patents, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT and Image Processing. Awarded 38+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021). He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled "International Journal of Smart Vehicles and Smart Transportation (IJSVST)". He has reviewed more than 2000+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Network Simulation, Big Data and Wireless Communications.

Dr. Mohd Naved is a passionate researcher & educator with 16 years of experience and proven track record of quality research publications and leading teams for the research and overall management of the educational institution. He is a senior member of IEEE and associated with multiple leading research organizations. He is a machine learning consultant and researcher, currently teaching in Amity University (Noida) for various degree programs in Analytics and Machine Learning. He is actively engaged in academic research on various topics in management as well as on 21st century technologies. He has published 60+ research articles in reputed journals (SCI/Scopus Indexed/peer reviewed). He has 16 patents in AI/ML and actively engage in commercialization of innovative products.