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.
Edited by:
Priyanka Chawla (Lovely Professional University),
Adarsh Kumar (University of Petroleum and Energy Studies),
Anand Nayyar (Duy Tan University,
Vietnam),
Mohd Naved (Amity Uni.,
Noida,
India)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions:
Height: 254mm,
Width: 178mm,
Weight: 544g
ISBN: 9781032206417
ISBN 10: 1032206411
Series: Innovations in Intelligent Internet of Everything IoE
Pages: 278
Publication Date: 19 December 2024
Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format: Paperback
Publisher's Status: Active
Preface About the Editors List of Contributors Chapter 1 Fundamentals of IoT, Artificial Intelligence, and Blockchain Approaches for Applications in Supply Chain Management by V. Padmavathi and R. Saminathan 1.1 Introduction 1.2 Fundaments of IoT, Artificial Intelligence, and Blockchain Approaches 1.3 The Intersection of Blockchain, Internet of Things (IoT), and Artificial Intelligence in Supply Chain Management 1.4 IoT, Artificial Intelligence, and Blockchain-Based Supply 1.5 Case Studies 1.6 Conclusion and Future Scope Chapter 2 Blockchain, IoT, and Artificial Intelligence Technologies for Supply Chain Management: Bibliometric Analysis by Esra Ozmen and Nurbahar Bora 2.1 Introduction 2.2 Background of the Study 2.3 Related Works 2.4 Methodology 2.5 Findings 2.6 Discussion 2.7 Conclusion and Future Scope Chapter 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, and 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 Chapter 4 Impact of Artificial Intelligence on Agriculture Value Chain Performance: Agritech Perspective by C. Ganeshkumar, Jeganthan Gomathi Sankar, and Arokiaraj David 4.1 Introduction 4.2 Review of Literature 4.3 Research Methodology 4.4 Results and Discussion 4.5 Conclusions and Implications Chapter 5 Applications of Artificial Intelligence of Things in Green Supply Chain Management: Challenges and Future Directions by Arshi Naim, Hamed Alqahtani, Sadaf Fatima, and 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 Chapter 6 Effects on Supply Chain Management due to COVID-19 by Shipra Gupta and Vijay Kumar 6.1 Introduction 6.2 Literature Review 6.3 Material and Methods 6.4 Results and Discussion 6.5 Conclusion and Future Scope Chapter 7 Artificial Intelligence from Vaccine Development to Pharmaceutical Supply Chain Management in Post-COVID-19 Period by Abhishek Dadhich and Priyanka Dadhich 7.1 Introduction to Indian 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 Applications 7.6 Pharmaceutical Supply Chain Transformation with AI 7.7 AI and Blockchain Technology Role in Implementing an Intelligent Supply Chain 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 Chapter 8 Blockchain for SCM: A Prospective Study Based on a Panel of Literature Reviews by Mostafa Qandoussi and 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 the Study 8.8 Conclusion and Future Scope Chapter 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, and Abhijit Das 9.1 Introduction 9.2 Methodology 9.3 Existing Plastic Waste SCN in India 9.4 Case Study 9.5 Discussion and Analysis 9.6 Conclusion and Future Scope Chapter 10 Supply Chain Management–Based Transportation System Using IoT and Blockchain Technology by Ahmed Mateen Buttar, Mahnoor Bano, and Amna Khalid 10.1 Introduction 10.2 Blockchain and Supply Chain Management Trends in a Business Life Cycle 10.3 Literature Review 10.4 Analysis and Discussion 10.5 Case Study 10.6 Conclusion and Future Scope Chapter 11 Perspective Analysis of Three Types of Services on a Queueing-Inventory System with a Sharing Buffer for Two Classes of Customers by K. Jeganathan, K. Prasanna Lakshmi, S. Selvakumar, T. Harikrishnan, and D. Nagarajan 11.1 Introduction 11.2 Description of the Mathematical Model 11.3 Solution of the Mathematical Model 11.4 System Characteristics 11.5 Cost Analysis of the Model 11.6 Numerical Discussions 11.7 Conclusion and Future Scope Chapter 12 Ensuring Provenance and Traceability in a Pharmaceutical Supply Chain Using Blockchain and Internet of Things by Anna N. Kurian, P.P. Joby, Tomina Anoop, and Allen Mathew 12.1 Introduction 12.2 Pharmaceutical Ecosystem 12.3 Existing Technologies 12.4 Counterfeit Drug Supply – A Global Threat 12.5 Blockchain – A Distributed Digital Ledger 12.6 Open Challenges and Discussions 12.7 Conclusion and Future Scope Index
