This book is a collection of applications of data analytics and machine learning in public procurement and supply chain management. It emphasizes the most cutting-edge methods proposed in recent years in the context of data mining techniques (text mining and cluster analysis), artificial intelligence, and the role of new technologies (e.g., IoT, blockchains, edge computing) and the latest scientific knowledge areas (e.g., analytics, big data, risk management) in procurement and supply chain.The book will explore themes mentioned in the Long TOC column here and the back cover text and USPs...

This edited volume is an in-depth collation of the usage of different quantitative decision making techniques in practical areas such as lean & green supply chain, reverse logistics, perishable logistics, closed loop supply chain, sustainable project management, retail management, block chain applications, optimal supplier selection problem, demand/supply modelling, forecasting under uncertainties, scheduling & sequencing, resource constraint logistics, dynamic network supply chain, risk evaluation, and so on. Additionally, the book also solves these issues in theoretical and practical...