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010   $a981-9910-19-6
024 7 $a10.1007/978-981-99-1019-9
035   $a(MiAaPQ)EBC30615203
035   $a(Au-PeEL)EBL30615203
035   $a(DE-He213)978-981-99-1019-9
035   $a(PPN)272253936
035   $a(CKB)27357745400041
035   $a(EXLCZ)9927357745400041
100   $a20230701d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplications of Emerging Technologies and AI/ML Algorithms $eInternational Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) /$fedited by Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (402 pages)
225 1 $aAsset Analytics, Performance and Safety Management,$x2522-5170
311 08$aPrint version: Tiwari, Manoj Kumar Applications of Emerging Technologies and AI/ML Algorithms Singapore : Springer,c2023 9789819910182 
320   $aIncludes bibliographical references.
327   $aChapter 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.
330   $aThis book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors.
410  0$aAsset Analytics, Performance and Safety Management,$x2522-5170
606   $aBusiness logistics
606   $aBusiness$xData processing
606   $aIndustrial procurement
606   $aMachine learning
606   $aQuantitative research
606   $aSupply Chain Management
606   $aBusiness Analytics
606   $aProcurement
606   $aMachine Learning
606   $aData Analysis and Big Data
615  0$aBusiness logistics.
615  0$aBusiness$xData processing.
615  0$aIndustrial procurement.
615  0$aMachine learning.
615  0$aQuantitative research.
615 14$aSupply Chain Management.
615 24$aBusiness Analytics.
615 24$aProcurement.
615 24$aMachine Learning.
615 24$aData Analysis and Big Data.
676   $a060
702   $aTiwari$b Manoj Kumar
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910746082903321
996   $aApplications of Emerging Technologies and AI$93565883
997   $aUNINA