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Titlebook: Innovative Supply Chain Management via Digitalization and Artificial Intelligence; Kumaresan Perumal,Chiranji Lal Chowdhary,Logan Che Book

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發(fā)表于 2025-3-21 16:16:02 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Innovative Supply Chain Management via Digitalization and Artificial Intelligence
編輯Kumaresan Perumal,Chiranji Lal Chowdhary,Logan Che
視頻videohttp://file.papertrans.cn/468/467496/467496.mp4
概述Illustrates artificial intelligence and machine learning models for all areas of operations in supply chain management.Includes examples using machine learning models to handle supply-to-demand imbala
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Innovative Supply Chain Management via Digitalization and Artificial Intelligence;  Kumaresan Perumal,Chiranji Lal Chowdhary,Logan Che Book
描述.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..
出版日期Book 2022
關(guān)鍵詞Supply Chain Operations; Artificial Intelligence; Machine Learning; IoT; Chabot; Block Chain; Augmented Re
版次1
doihttps://doi.org/10.1007/978-981-19-0240-6
isbn_softcover978-981-19-0242-0
isbn_ebook978-981-19-0240-6Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Data Protection Using Multiple Servers for Medical Supply Chain System,get rid of inside attacks with the help of multiple servers to store patient’s data. Our main contribution is to securely distribute the patient data in numerous data servers which employed the Paillier and ElGamal cryptosystems for performing statistical study on the patient data without cooperating the patients’ confidentiality.
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發(fā)表于 2025-3-22 05:25:48 | 只看該作者
Classification and Analysis of Market Segment in Supply Chain System for Stationary Products,are when compared to potential competitors. There are various reasons for the company’s lower market share. The key aspect is to classify, characterize and analyze their product mix at a region level in order to anticipate the most profitable product segment which can aid in devising new marketing strategy and better segmentation.
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Book 2022ters 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 c
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2198-4182 ng machine learning models to handle supply-to-demand imbala.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 bo
7#
發(fā)表于 2025-3-22 19:41:44 | 只看該作者
Book 2022s, 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..
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n Abschnitt 3 sind die zur Verbesserung der Pre?formen m?glichen Wege systematisch zusammengestellt. Von ihnen wurde die Auskleidung von Pre?- formen mit verschlei?festen Blechen als sehr aussichtsreich erachtet und ein Verfahren ausgearbeitet, nach dem man einen aus verschlei?festem Blech ge- bogenen Ring in978-3-663-06054-3978-3-663-06967-6
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