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Key Features:
- Discusses metaverse technology applicable in the field of supply chain management along with its application in various supply chain networks
- Covers virtual warehousing, the use of digital twins in logistics and warehousing, the use of blockchain, and augmented reality and virtual reality technology in the field of supply chain management
- Highlights various challenges in the field of navigating the metaverse in supply chain management
- Showcases the implementation of digital supply chain solutions to enhance food safety and traceability
- Explains the use of blockchain and smart contracts for transparent and secure transactions
Supply Chain with Metaverse is primarily written for senior undergraduates, graduate students, and academic researchers in manufacturing engineering, industrial engineering, production engineering, engineering management, mechanical engineering, and engineering design.
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Lokesh Vijayvargy serves as Professor and Pan Jaipuria Area Chair of Operations Management & Decision Science at Jaipuria Institute of Management, Jaipur. He has a Doctoral degree in Green Supply Chain Management from the National Institute of Technology (NIT) Jaipur, M.Tech in Industrial Management from Indian Institute of Technology (IIT), Delhi and B.Tech in Production Engineering from Jai Narain Vyas University Jodhpur. He has 21 years of experience in teaching and research. He has more than 30 research papers in ABDC, Scopus, WOS and UGC Care Journals to his credit. His areas of interest are Green Supply Chain Management, Industry 4.O, Supplier Selection, Operations Management, and Operations Research. He has published four edited books in different areas.
Ajit Kumar Singh serves as Assistant at Jaipuria Institute of Management, Jaipur. He has received his M. Tech in Industrial Engineering and Management from National Institute of Technology Raipur and PhD in quality management from the same institution (NIT Raipur). He has published many research papers in reputed journals and attended many international conferences. Dr. Singh has also published two books with renown publishers. He is a life member of Global Institution of Flexible System Management (GIFT), Indian Institution of Industrial Engineering (IIIE) Mumbai, Institution of Engineer India (IEI). His areas of research are Management of Engineering Education, Quality Management, Strategic Management, Optimization, etc.
Gunjan Soni holds B.E. (Mechanical Engineering) from The University of Rajasthan, M. Tech. (Industrial Engineering) from IIT-Delhi and PhD (Industrial Engineering) from Birla Institute of Technology, Pilani. He joined MNIT as an Assistant Professor (Mechanical Engineering) in 2012 and is now serving as an Associate professor (Department of Mechanical Engineering along with Joint faculty at Department of Artificial Intelligence and Data Engineering). At MNIT Jaipur he has developed several new courses such as Applied Machine Learning, Six Sigma, Artificial Intelligence in Manufacturing Systems, Applied Probability and Statistics at UG and PG level. He has also established Intelligent Automation and Robotics Lab in the Department of Mechanical Engineering. He has published more than 120 papers in various international journals. He has guided 12 PhDs and over 24 Masters’ theses. He is doing four research projects in which two are international and other two are at national level. His major research contributions are in the areas of supply chain optimization, predictive maintenance and AI applications in manufacturing systems.
Mangey Ram obtained his Ph.D. in Mathematics with a minor in Computer Science from G.B. Pant University of Agriculture and Technology, Pantnagar, in 2008. With over fifteen years of academic experience, he has taught a wide range of courses in pure and applied mathematics at undergraduate, postgraduate, and doctoral levels. He currently serves as a Research Professor at Graphic Era (Deemed to be University), Dehradun. A prolific scholar, he has published more than 400 research works and over 60 books with leading international publishers, including Elsevier, Springer Nature, CRC Press, and De Gruyter. He is the Editor-in-Chief of several reputed journals and Series Editor for multiple international book series. His research interests include reliability theory and applied mathematics. Prof. Ram has received numerous awards, including the Young Scientist Award (2009), Research Excellence Award (2015), Emerging Mathematician of Uttarakhand, and the Distinguished Service Award (2023).
