Applications of emerging technologies and AI/ML algorithms : International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) / Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra, editors.
International Conference on Data Analytics in Public Procurement and Supply Chain (2022); Tiwari, Manoj Kumar, editor.; Kumar, Madhu Ranjan, editor.; T. M., Rofin, editor.; Mitra, Rony, editor.
2023
JF1525.P85
Available Online

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Title
Applications of emerging technologies and AI/ML algorithms : International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) / Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra, editors.
Meeting Name
International Conference on Data Analytics in Public Procurement and Supply Chain (2022)
ISBN
9789819910199 (electronic bk.)
9819910196 (electronic bk.)
9789819910182
9819910188
DOI
https://doi.org/10.1007/978-981-99-1019-9
Published
Singapore : Springer, 2023.
Language
English
Description
1 online resource (xii, 408 pages) : illustrations (some color).
Item Number
10.1007/978-981-99-1019-9 doi
Call Number
JF1525.P85
Dewey Decimal Classification
352.53
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 6, 2023).
Added Author
Tiwari, Manoj Kumar, editor.
Kumar, Madhu Ranjan, editor.
T. M., Rofin, editor.
Mitra, Rony, editor.
Series
Asset analytics, 2522-5170
Available in Other Form
Print version: 9789819910182
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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.

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