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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Innovative Supply Chain Management via Digitalization and Artificial Intelligence (Hardcover, 1st ed. 2022) Loot Price: R4,579
Discovery Miles 45 790
Innovative Supply Chain Management via Digitalization and Artificial Intelligence (Hardcover, 1st ed. 2022): Kumaresan Perumal,...

Innovative Supply Chain Management via Digitalization and Artificial Intelligence (Hardcover, 1st ed. 2022)

Kumaresan Perumal, Chiranji Lal Chowdhary, Logan Chella

Series: Studies in Systems, Decision and Control, 424

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Loot Price R4,579 Discovery Miles 45 790 | Repayment Terms: R429 pm x 12*

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This 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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Studies in Systems, Decision and Control, 424
Release date: April 2022
First published: 2022
Editors: Kumaresan Perumal • Chiranji Lal Chowdhary • Logan Chella
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 207
Edition: 1st ed. 2022
ISBN-13: 978-981-19-0239-0
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Business & Economics > Business & management > Management of specific areas > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 981-19-0239-9
Barcode: 9789811902390

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