| 书目名称 | Innovative Supply Chain Management via Digitalization and Artificial Intelligence | | 编辑 | Kumaresan Perumal,Chiranji Lal Chowdhary,Logan Che | | 视频video | | | 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 | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 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 | | 关键词 | Supply Chain Operations; Artificial Intelligence; Machine Learning; IoT; Chabot; Block Chain; Augmented Re | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-0240-6 | | isbn_softcover | 978-981-19-0242-0 | | isbn_ebook | 978-981-19-0240-6Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
The information of publication is updating
|
|
发表于 2025-3-21 16:16:02
