Utilization of AI Technology in Supply Chain Management

Utilization of AI Technology in Supply Chain Management

Indexed In: SCOPUS
Release Date: March, 2024|Copyright: © 2024 |Pages: 336
DOI: 10.4018/979-8-3693-3593-2
ISBN13: 9798369335932|ISBN13 Softcover: 9798369348260|EISBN13: 9798369335949
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Description & Coverage
Description:

The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management.

Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively.

The topics within the book span the breadth of AI and ML applications in supply chain management, offering insights into automation's impact, supply chain network optimization, intelligent systems for industrial robots, and much more. Whether you are navigating the intricacies of computational biology or exploring the fuzzy Bayesian approach to Industry 6.0 supplier selection, this book provides a roadmap to unlock the full potential of AI and ML in solving the intricate problems faced by businesses in the supply chain domain. Join us in this intellectual journey as we present a compelling solution to the challenges of Industry 4.0, bridging the gap between theory and practical applications in the evolving landscape of supply chain management.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Automation
  • Bargaining Model
  • Computational Biology
  • Fuzzy Bayesian Approach
  • Industry 6.0
  • Intelligent Systems
  • Location-based Decision Support
  • Logistical Applications
  • Multiagent Systems
  • Oligopolistic Markets
  • Operations Management
  • Particle Swarm Intelligence (PSO)
  • Supply Chain Improvement
  • Swarm Intelligence
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Editor/Author Biographies

Digvijay Pandey, an accomplished lecturer in the Department of Technical Education (Diploma Wing) specializing in Electronics Engineering, holds an M.Tech in Digital System And Design from KNIT Sultanpur, UP, and a B.Tech in Electronics Engineering from I.E.R.T., Allahabad, UP. With a solid academic background and a passion for student development, Pandey has excelled in various roles, including as a Lecturer at I.E.R.T. Allahabad and later at Tata Consultancy Limited, where he served as an I.T. Analyst and Technical Expert in campus recruitment. Currently serving as a Lecturer (Gazetted Officer) at the Department of Technical Education, Government of U.P., Pandey's expertise spans programming languages, software tools, testing methodologies, and management skills. He has undertaken professional training programs and completed projects in his field, including an M.Tech project on text extraction algorithms and a B.Tech project on automatic railway systems. Pandey's achievements include academic excellence, awards, and certifications in various domains. Additionally, he has made significant research contributions, with numerous publications and presentations at international conferences. His dedication to education and innovation is evident through his involvement in various social, academic, and research endeavors, making him a valuable asset in technical education.

Binay Kumar Pandey currently working as an Assistant Professor in Department of Information Technology of Govind Ballabh Pant University of Agriculture and Technology Pantnagar Uttrakhand, India. He obtained his M. Tech with Specialization in Bioinformatics from Maulana Azad National Institute of Technology Bhopal M. P. India, in 2008 . He obtained his First Degree B. Tech at the IET Lucknow (Uttar Pradesh Technical University, Uttar Pradesh and Lucknow) India, in 2005. In 2010, he joined Department of Information Technology of College of Technology in Govind Ballabh Pant University of Agriculture and Technology Pantnagar as an Assistant Professor and worked for various UG and PG projects till date. He has more than ten years of experience in the field of teaching and research.He has more than 40 publications in reputed peer journal reputed journal Springer,Inderscience,(sci and socopus indexed journal and others) and 3 patent.He has many awards such PM Scholarship etc . He session chair in IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI-2020) on December 30, 2020 organized by Pankaj Laddhad Institute of Technology and Management Studies; Buldhana, Maharashtra, India
Uday Kumar Kanike finished a Doctorate from Georgia State University in 2023.

Dr. A. Shaji George has served education and ICT industry for over 25 years. He is a member of the board of trustees and professor of Crown University International and cooperate advisory board of trustees a special assistant to Pro Chancellor at Chartered Int’l Da Vinci University Inc., Nigeria, West Africa. Cooperate advisory board of trustees as a Deputy Vice President (Administration) West Coast University International, Nigeria, West Africa. Trainer and Counsellor of the National Human Rights and Humanitarian Federation -NHRF, Kerala India. A recognized technical expert in ICT Systems, Network & Telecommunication, designed and deployed large scale ICT projects. Having published more than sixty research papers in National and International Journals with impact factors, his research interests include Wireless, Networking, Cloud Computing, Image Processing Big Data, IoT and industrial automation systems.

Prabjot Kaur did her Ph.D. in Operations Research: Decision Sciences from Birla Institute of Technology, Mesra, Ranchi. She is presently working as an Assistant Professor in Department of Mathematics, BIT, Mesra, Ranchi. She has a total of 14+years of experience including both research and teaching. Her area of research include Multiple Criteria Decision Making (MCDM) & Fuzzy MCDM, Intuitionistic fuzzy sets, optimization, inventory management and medical diagnosis. She has successfully completed a major UGC research project titles” A Decision support system for vendor selection problem under intuitionistic fuzzy environment”. She has guided and guiding Ph.D. thesis work. she has guided around 40 master’s thesis. She has total 40+ publications both in reputed national and international journals. She has presented/attended conferences and workshops in countries like France, Turkey, Maldives, Greece, etc. She has written a book titled” A fuzzy approach to vendor selection problem”. She has also been reviewer in several good journals. She has been doctoral committee member for several departments of her institute. She has also given invited talks in several institutes around the country. She was in the Board of Governors at BIT, Mesra from May 2014-2015 and presently in governing body of the institute run school. She is in board of studies RKDF University. She is in interview board committee of Usha Martin University. She was a Program Officer in NSS unit of BIT, Mesra, Ranchi.
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