Sinopsis
This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors.
Acerca del autor
Prof. Manoj Kumar Tiwari (FNAE, FNASc, FIIIE, FIISE) has been Director, National Institute of Industrial Engineering (NITIE) Mumbai since November 2019. He is a Professor with Higher Academic Grade (HAG) in the Department of Industrial and Systems Engineering at the Indian Institute of Technology, Kharagpur. He is the winner of The David F. Baker Distinguished Research Award 2023. He is actively involved in research relevant to the application of optimization, modeling, decision support systems, and data mining in logistics, supply chain management, and manufacturing research domains. He is associate/senior editor of several renowned journals like IJPR, POMS, IISE, ESWA, JIM, IEEE-SMCA, INS, and CAIE. Prof Tiwari has led numerous projects and consultancy assignments with prominent industry and government organizations in India, including Indian Air Force, Procter and Gamble, TATA Hitachi, and ports located in eastern India. In addition, he extensively engaged in collaborative research with partners from Loughborough University UK, Institute for Manufacturing (IfM) at the University of Cambridge UK, Warwick Manufacturing Group UK, Durham University UK, and the University of Connecticut USA. Prof. Tiwari is an author of more than 400 articles in leading international journals with H index-77.
Prof. Madhu Ranjan Kumar IRSS (Retd) heads the Procurement Research Centre (PRC) at Arun Jaitley National Institute of Financial Management (AJNIFM), Faridabad, India. The recent research areas of Prof. Kumar are use of data analytics in Reverse Auction and in pricing of bids. He is a Fellow of Indian Institute of Materials Management and a Fellow of Institution of Engineers. He is a Mechanical Engineer from IIT BHU and doctorate from Southern Cross University, Australia.
Dr. Rofin T. M. is currently working as an Assistant Professor in the area of Operations and Supply Chain Management at National Institute of Industrial Engineering (NITIE), Mumbai. He obtained his PhD from the Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur. His research work is concerned with game-theoretic modelling of emerging multi-channel supply chain configurations, EPC contracts, Electric Vehicle Charging Supply Chain and Supply Chain Risk and Resilience. He has more than 6 years of teaching experience at the post graduate level. He is a lifetime member of Operational Research Society of India.
Rony Mitra is a research scholar at the Indian Institute of Technology (IIT) Kharagpur with the Department of Mathematics. He completed his B.Sc in Mathematics and MTech in Computer Science and Data Processing. His areas of research interest are financial mathematics, financial modeling, stochastic processes, asset pricing, risk management, time series, portfolio management, supply chain management, data structures, etc. He developed innovative solutions for various industrial challenges, including predictive maintenance for baggage handling systems, sales forecasting for a multinational retail company, turn around time reduction for an Indian Port.
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