Blockchain, Iot, and AI Technologies for Supply Chain Management: Apply Emerging Technologies to Address and Improve Supply Chain Management
Grover, Veena, Balusamy, B. Balamurugan, Milanov, Mariofanna
- 出版商: Apress
- 出版日期: 2024-08-01
- 售價: $1,780
- 貴賓價: 9.5 折 $1,691
- 語言: 英文
- 頁數: 190
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798868803147
- ISBN-13: 9798868803147
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相關分類:
人工智慧、區塊鏈 Blockchain、物聯網 IoT
海外代購書籍(需單獨結帳)
商品描述
Examine the synergistic possibilities of combining blockchain, IoT, and AI technologies in supply chain management. This book will address the difficulties and possibilities of integrating these technologies and offer helpful implementation advice.
The current state of supply chain management involves several challenges, including lack of transparency, limited visibility into product movements, inefficient inventory management, and difficulty in tracking and tracing products. Blockchain, IoT, and AI can potentially address some of these challenges and improve supply chain management.
To help illustrate this, case studies and actual instances of businesses implementing or experimenting with blockchain, IoT, and AI technology in their supply chains are included in the book. You'll review helpful advice on implementation and highlight successful deployments, lessons learned, and the impact of these technologies on supply chain visibility, agility, sustainability, and customer experience. This book further elaborates the fundamental concepts of AI and ML algorithms and demonstrates how AI can process enormous volumes of supply chain data to produce actionable insights, improve inventory control, forecast demand, and increase forecasting precision.
This collective work will serve as a comprehensive guide for supply chain professionals, researchers, and technology enthusiasts interested in understanding the potential of blockchain, IoT, and AI technologies in revolutionizing supply chain management practices.
What You Will Learn
- Discuss the evolving landscape of technology, potential advancements, and how Blockchain, IoT, and AI can shape the future of supply chains
- Gain Insight into upcoming developments and prepare for changing dynamics of the industry
- Understand intricate details of blockchain, IoT, and AI Technologies in real-life scenarios
Who Is This Book For
Industry Professionals working in the domain of supply chain management who would be interested in understanding how these technologies can enhance efficiency, transparency, and optimization in their supply chains.
商品描述(中文翻譯)
本書探討了在供應鏈管理中結合區塊鏈、物聯網（IoT）和人工智慧（AI）技術的協同可能性。本書將解決整合這些技術的困難和可能性，並提供有用的實施建議。
目前的供應鏈管理面臨著幾個挑戰，包括透明度不足、對產品運動的可見性有限、庫存管理效率低下以及產品追蹤困難。區塊鏈、物聯網和人工智慧有可能解決其中一些挑戰並改善供應鏈管理。
為了幫助說明這一點，本書包含了企業在其供應鏈中實施或實驗區塊鏈、物聯網和人工智慧技術的案例研究和實際情況。您將回顧有關實施的有用建議，並突出成功的部署、經驗教訓以及這些技術對供應鏈可見性、靈活性、可持續性和客戶體驗的影響。本書進一步闡述了人工智慧和機器學習算法的基本概念，並演示了人工智慧如何處理大量的供應鏈數據以產生可行的見解，改善庫存控制，預測需求並提高預測精度。
這本集體作品將成為供應鏈專業人士、研究人員和對區塊鏈、物聯網和人工智慧技術在革新供應鏈管理實踐中潛力感興趣的技術愛好者的全面指南。
您將學到什麼
- 討論技術發展的演變，潛在的進展以及區塊鏈、物聯網和人工智慧如何塑造供應鏈的未來
- 獲得對即將到來的發展的洞察，並為行業的變動動態做好準備
- 了解區塊鏈、物聯網和人工智慧技術在實際情境中的細節
本書適合對象
- 在供應鏈管理領域工作的行業專業人士，他們有興趣了解這些技術如何提升供應鏈的效率、透明度和優化。
作者簡介
Dr. Veena Grover is a Professor in Department of Management at Noida Institute of Engineering & Technology, India. Her interests include Micro Finance, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published multiple articles in various journals and presented papers in various conferences. At present, she is guiding four research scholars and serves as an Editor of International Journal of Advanced Trends in Technology, Management & Applied Science.
Dr. Balamurugan Balusamy is currently working as Associate Dean-Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.
Prof. Seifedine Kadry focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.
Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.
作者簡介(中文翻譯)
Dr. Veena Grover是印度Noida Institute of Engineering & Technology的管理學系教授。她的研究興趣包括微型金融、可持續性、宏觀經濟變數和創新策略。她在各種期刊上發表了多篇文章，並在各種會議上發表了論文。目前，她指導四位研究學者，並擔任《國際先進趨勢科技、管理與應用科學期刊》的編輯。
Dr. Balamurugan Balusamy目前在印度Shiv Nadar University擔任副院長-學生參與工作。他在計算機科學領域擁有15年的經驗。他的研究領域包括物聯網、大數據和網絡。他發表了100多篇論文，並貢獻了多個專書章節。
Prof. Seifedine Kadry專注於數據科學、利用技術進行教育、系統預測、隨機系統和應用數學。他是計算機ABET計劃評估員和工程技術ABET計劃評估員。他是IET、IETE和IACSIT的會士。他是IEEE計算機學會的傑出演講者。
Dr. A. Yovan Felix在大數據、深度學習和數據挖掘領域指導學生。他在國內外期刊上發表了技術論文。他在數據分析、智能預測系統和深度學習算法方面擁有17年的經驗和專業知識。他還協調組織了多個國內外活動。
