03979nam 22006855 450 991074608290332120230909072735.0981-9910-19-610.1007/978-981-99-1019-9(MiAaPQ)EBC30615203(Au-PeEL)EBL30615203(DE-He213)978-981-99-1019-9(PPN)272253936(CKB)27357745400041(EXLCZ)992735774540004120230701d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplications of Emerging Technologies and AI/ML Algorithms International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) /edited by Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (402 pages)Asset Analytics, Performance and Safety Management,2522-5170Print version: Tiwari, Manoj Kumar Applications of Emerging Technologies and AI/ML Algorithms Singapore : Springer,c2023 9789819910182 Includes bibliographical references.Chapter 1: Q-Learning Approach to Mitigate Bacterial Contamination in Food Supply Chain -- Chapter 2: Optimization of Network Planning in a Real-Life Vehicle Logistics Distribution System -- Chapter 3: Efficient Supplier Selection in e-Procurement Reverse Auction using Graph Based Model -- Chapter 4: Role of E-procurement and Blockchains in Government Tendering- A Case of China Omnichannel distribution network design for fresh-food procurement considering freshness keeping effort and food quality loss.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.Asset Analytics, Performance and Safety Management,2522-5170Business logisticsBusinessData processingIndustrial procurementMachine learningQuantitative researchSupply Chain ManagementBusiness AnalyticsProcurementMachine LearningData Analysis and Big DataBusiness logistics.BusinessData processing.Industrial procurement.Machine learning.Quantitative research.Supply Chain Management.Business Analytics.Procurement.Machine Learning.Data Analysis and Big Data.060Tiwari Manoj KumarMiAaPQMiAaPQMiAaPQBOOK9910746082903321Applications of Emerging Technologies and AI3565883UNINA