LEADER 04025nam  22006735  450 
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010   $a9789811902406
010   $a9811902402
024 7 $a10.1007/978-981-19-0240-6
035   $a(MiAaPQ)EBC6949307
035   $a(Au-PeEL)EBL6949307
035   $a(CKB)21479234200041
035   $a(PPN)262170051
035   $a(OCoLC)1309961073
035   $a(DE-He213)978-981-19-0240-6
035   $a(EXLCZ)9921479234200041
100   $a20220406d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aInnovative Supply Chain Management via Digitalization and Artificial Intelligence /$fedited by Kumaresan Perumal, Chiranji Lal Chowdhary, Logan Chella
205   $a1st ed. 2022.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022.
215   $a1 online resource (208 pages)
225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v424
311 08$aPrint version: Perumal, Kumaresan Innovative Supply Chain Management Via Digitalization and Artificial Intelligence Singapore : Springer Singapore Pte. Limited,c2022 9789811902390 
327   $aSupply Chain Management 4.0 -- AI applications in Procurement and demand forecasting -- Smart SCM Operations: Production, Planning, Scheduling and Control -- How to build an Automated and Logistics Systems: An IoT Approach -- Automated Process and Information Management -- Driving AI Models in Cloud SCM -- Blockchain Digital Transformation -- Sustainable Supply Chain Strategy -- Supply Chain Risks beyond 2020 -- Virtual Supply Chain management -- Digital Tourism Supply Chains Management -- SMART Food Supply Chain System -- Supply Chain revolution for Agri 4.0 -- Role of Analytics in Supply Chain.
330   $aThis book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software. The book also includes case studies that provide a problem statement and industry overcome by applying ML and AI technologies. This book is suitable for undergraduates, postgraduates, industrial professionals, business executives, entrepreneurs, and freelancers to encourage practical learning on AI and ML algorithms in SCM 4.0. Additionally, this book will provide computer science and information system professionals with the latest technologies embedded in the corporate world.
410  0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v424
606   $aArtificial intelligence
606   $aMachine learning
606   $aIndustrial management
606   $aProduction management
606   $aArtificial Intelligence
606   $aMachine Learning
606   $aIndustrial Management
606   $aOperations Management
615  0$aArtificial intelligence.
615  0$aMachine learning.
615  0$aIndustrial management.
615  0$aProduction management.
615 14$aArtificial Intelligence.
615 24$aMachine Learning.
615 24$aIndustrial Management.
615 24$aOperations Management.
676   $a658.7028563
700   $aPerumal$b Kumaresan$01221544
701   $aChowdhary$b Chiranji Lal$01221545
701   $aChella$b Logan$01221546
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910559398303321
996   $aInnovative Supply Chain Management Via Digitalization and Artificial Intelligence$92832709
997   $aUNINA