| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
1852321067 Erscheint auch als (Druck-Ausgabe): ‡Applications of Emerging Technologies and AI/ML Algorithms |
| ISBN |
978-981-99-1018-2 |
| 978-981-99-1020-5 |
| 978-981-99-1021-2 |
| Name |
Tiwari, Manoj Kumar ¬[HerausgeberIn]¬ |
| Kumar, Madhu Ranjan ¬[HerausgeberIn]¬ |
| Name ANZEIGE DER KETTE |
Kumar, Madhu Ranjan ¬[HerausgeberIn]¬ |
| Name |
Ali, Rofin Thirunelvelikaran Mohammed ¬[HerausgeberIn]¬ |
| Mitra, Rony ¬[HerausgeberIn]¬ |
| Körperschaft |
International Conference on Data Analytics in Public Procurement and Supply Chain <2022, Online> ¬[VerfasserIn]¬ |
| T I T E L |
Applications of Emerging Technologies and AI/ML Algorithms |
| Zusatz zum Titel |
International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) |
| Verlagsort |
Singapore |
| Singapore |
| Verlag |
Springer Nature Singapore |
| Imprint: Springer |
| Erscheinungsjahr |
2023 |
| 2023 |
| 2023 |
| Umfang |
1 Online-Ressource (XII, 408 p. 102 illus., 84 illus. in color.) |
| Reihe |
Asset Analytics, Performance and Safety Management |
| Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-99-1018-2 |
| Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-99-1020-5 |
| Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-99-1021-2 |
| Erscheint auch als (Druck-Ausgabe): ‡Applications of Emerging Technologies and AI/ML Algorithms |
| ISBN |
ISBN 978-981-99-1019-9 |
| Klassifikation |
KJMV8 |
| BUS087000 |
| 658.7 |
| Kurzbeschreibung |
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. |
| 2. Kurzbeschreibung |
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. |
| SWB-Titel-Idn |
1851561048 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttps://doi.org/10.1007/978-981-99-1019-9 |
| Internetseite / Link |
Resolving-System |
