Applications of Emerging Technologies and AI/ML Algorithms - International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) (1st ed. 2023)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Asset Analytics
Release date:	July 2023
First published:	2023
Editors:	Manoj Kumar Tiwari • Madhu Ranjan Kumar • Rofin T. M. • Rony Mitra
Dimensions:	235 x 155mm (L x W)
Pages:	408
Edition:	1st ed. 2023
ISBN-13:	978-981-9910-18-2
Categories:	Books
LSN:	981-9910-18-8
Barcode:	9789819910182

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