LEADER 02347nas 2200805-a 450 001 996217653703316 005 20230522213016.0 011 $a1439-2054 035 $a(OCoLC)47558903 035 $a(CKB)958634688016 035 $a(CONSER)--2004233697 035 $a(DE-599)ZDB0003-3146;1438-7492;1439-2054;1522-9505 035 $a(EXLCZ)99958634688016 100 $a20010720a20009999 s-- - 101 0 $aeng 135 $aurmnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMacromolecular materials and engineering 210 $aWeinheim $cWiley-VCH$d©2000- 300 $aTitle from table of contents screen (Wiley InterScience, viewed: June 1, 2004). 300 $aRefereed/Peer-reviewed 311 $a1438-7492 531 $aMACROMOL MATER ENG 531 $aMACROMOL. MATER. ENG 606 $aPlastics$vPeriodicals 606 $aPolymers$vPeriodicals 606 $aPolymerization$vPeriodicals 606 $aPlastics 606 $aPolymers 606 $aMacromolecular Substances 606 $aPlastics 606 $aPolymers 606 $aMatières plastiques$vPériodiques 606 $aPolymères$vPériodiques 606 $aPolymérisation$vPériodiques 606 $aMatières plastiques 606 $aPolymères 606 $apolymers$2aat 606 $aPlastics$2fast$3(OCoLC)fst01066542 606 $aPolymerization$2fast$3(OCoLC)fst01070576 606 $aPolymers$2fast$3(OCoLC)fst01070588 608 $aPeriodical 608 $aperiodicals.$2aat 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 608 $aPériodiques.$2rvmgf 610 $aChemical Engineering 615 0$aPlastics 615 0$aPolymers 615 0$aPolymerization 615 0$aPlastics. 615 0$aPolymers. 615 2$aMacromolecular Substances 615 2$aPlastics 615 2$aPolymers 615 6$aMatières plastiques 615 6$aPolymères 615 6$aPolymérisation 615 6$aMatières plastiques. 615 6$aPolymères. 615 7$apolymers. 615 7$aPlastics. 615 7$aPolymerization. 615 7$aPolymers. 906 $aJOURNAL 912 $a996217653703316 996 $aMacromolecular materials and engineering$92013609 997 $aUNISA LEADER 03979nam 22006855 450 001 9910746082903321 005 20230909072735.0 010 $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