Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management
暫譯: 量子計算與人工智慧在物流與供應鏈管理中的應用
Dutta, Pushan Kumar, Bhattacharya, Pronaya, Prakash Verma, Jai
相關主題
商品描述
This book discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management. It bridges the gap between these two dynamic fields, offering a comprehensive guide to the application of quantum principles in supply chain operations. Through detailed examples and case studies, it highlights how quantum computing can tackle industry-specific issues, such as managing global supply chain disruptions, enhancing production schedules, and enabling real-time decision-making. This book is for researchers, professionals, and technologists interested in quantum computing and supply chain practices.
Features:
- Provides an in-depth analysis of quantum computing technologies and their capacity to solve complex optimisation problems at scales unimaginable with traditional computing
- Examines the impact of quantum computing on manufacturing and logistics, with a focus on sectors such as automotive and aerospace
- Real-world scenarios illustrate how quantum solutions can streamline operations and drive efficiency
- Explores quantum algorithms and their use in addressing challenges like route optimisation, inventory management, and demand forecasting, offering strategies to reduce costs and improve resilience
- Considers the current limitations, ethical implications, and the path to widespread adoption of quantum computing in supply chains, emphasising the need for interdisciplinary collaboration
商品描述(中文翻譯)
這本書探討了量子計算在重塑供應鏈管理領域中的變革潛力。它橋接了這兩個動態領域，提供了一本關於量子原則在供應鏈運作中應用的綜合指南。通過詳細的範例和案例研究，書中突顯了量子計算如何解決行業特定的問題，例如管理全球供應鏈中斷、提升生產排程以及實現即時決策。這本書適合對量子計算和供應鏈實踐感興趣的研究人員、專業人士和技術人員。
特色：
- 提供對量子計算技術的深入分析，以及它們在傳統計算無法想像的規模上解決複雜優化問題的能力
- 檢視量子計算對製造和物流的影響，重點關注汽車和航空等行業
- 實際案例說明量子解決方案如何簡化操作並提高效率
- 探討量子演算法及其在解決路徑優化、庫存管理和需求預測等挑戰中的應用，提供降低成本和提高韌性的策略
- 考慮量子計算在供應鏈中的當前限制、倫理影響以及廣泛採用的路徑，強調跨學科合作的必要性
作者簡介
Pushan Kumar Dutta is an Assistant Professor at Amity University, Kolkata, India. He holds a Ph.D. and specialises in Electronics and Communication Engineering, AI, and digital transformation. He has edited over 30 books and contributed extensively to research on Industry 4.0/5.0, AI in healthcare, IoMT, quantum computing, and digital manufacturing. As Series Editor for "Sustainable Industrial Engineering Systems," he has published in predictive analytics, edge computing, and data mining, with a focus on smart healthcare and earthquake studies. A recipient of the Venus International Faculty Award (2018), he holds two patents and has been recognised as a "Mentor of Change" by NITI Aayog.
Pronaya Bhattacharya is an Associate Professor in the Computer Science and Engineering Department at Amity School of Engineering and Technology, Amity University, Kolkata, India. He holds a Ph.D. from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, India. With over 10 years of academic experience, he has authored more than 140 research papers in SCI journals and IEEE conferences. His research focuses on healthcare analytics, optical switching, federated learning, blockchain, and IoT. Dr Bhattacharya is listed among the top 2% of scientists by Stanford University.
Jai Prakash Verma is an Associate Professor in the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. He holds a Ph.D. from Charusat University, Changa, India. Specialising in Data Mining, Big Data Analytics, and Machine Learning, he has contributed extensively to research through conferences and journal publications. A recognised PhD guide, he currently supervises three PhD scholars and coordinates training programs for Indian Navy officers and ISRO scientists.
Ashok Chopra is the Registrar and Program Chair for Ph.D. at Amity University Dubai and an Associate Professor at Amity Business School, Dubai, UAE. He holds a Ph.D. and has over 25 years of international industry experience as an academician and corporate trainer. Holding significant administrative roles, he has contributed to research through papers, articles, and books. His expertise includes teaching, training, and designing learning environments for diverse educational backgrounds.
Neel Kanth Kundu is an Assistant Professor at the Centre for Applied Research in Electronics, Indian Institute of Technology Delhi, India. He holds a Ph.D. from The Hong Kong University of Science and Technology (HKUST). His research focuses on signal processing for 6G wireless communications, quantum communications, and quantum information processing. He has held postdoctoral positions at HKUST and The University of Melbourne and has received the INSPIRE Young Faculty Fellowship and the Hong Kong Ph.D. Fellowship.
Khursheed Aurangazeb is an Associate Professor in the Department of Computer Engineering at the College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. He holds a Ph.D. in Electronics Design from Mid Sweden University, Sweden. With over 17 years of experience in data analytics, machine learning, and embedded systems, he has authored over 90 publications and led multiple research projects. His research focuses on embedded systems, signal processing, and machine learning applications in smart grids, precision agriculture, and healthcare.
作者簡介(中文翻譯)
Pushan Kumar Dutta 是印度加爾各答阿米提大學的助理教授。他擁有博士學位，專攻電子與通信工程、人工智慧及數位轉型。他編輯了超過30本書籍，並在工業4.0/5.0、醫療保健中的人工智慧、物聯網醫療（IoMT）、量子計算及數位製造等研究領域有廣泛的貢獻。作為《可持續工業工程系統》系列的編輯，他在預測分析、邊緣計算和資料挖掘方面發表了多篇文章，重點關注智慧醫療和地震研究。他是2018年金星國際教職員獎的獲得者，擁有兩項專利，並被NITI Aayog認可為「變革導師」。
Pronaya Bhattacharya 是印度加爾各答阿米提大學工程與技術學院計算機科學與工程系的副教授。他擁有來自印度勒克瑙的A.P.J. 阿布杜勒·卡拉姆技術大學的博士學位。擁有超過10年的學術經驗，他在SCI期刊和IEEE會議上發表了140多篇研究論文。他的研究重點包括醫療保健分析、光學切換、聯邦學習、區塊鏈和物聯網。Bhattacharya博士被史丹佛大學列為前2%的科學家。
Jai Prakash Verma 是印度尼爾瑪大學技術學院計算機科學與工程系的副教授。他擁有來自印度查魯薩特大學的博士學位。專攻資料挖掘、大數據分析和機器學習，他通過會議和期刊發表對研究做出了廣泛貢獻。作為一名認可的博士生導師，他目前指導三名博士生，並協調印度海軍官員和ISRO科學家的培訓計劃。
Ashok Chopra 是阿米提大學迪拜校區的註冊主任及博士課程主席，同時也是阿米提商學院的副教授。他擁有博士學位，並在學術界和企業培訓方面擁有超過25年的國際行業經驗。擔任重要的行政職位，他通過論文、文章和書籍對研究做出了貢獻。他的專業包括教學、培訓及為不同教育背景設計學習環境。
Neel Kanth Kundu 是印度德里印度理工學院應用電子研究中心的助理教授。他擁有來自香港科技大學（HKUST）的博士學位。他的研究重點是6G無線通信的信號處理、量子通信和量子信息處理。他曾在HKUST和墨爾本大學擔任博士後職位，並獲得INSPIRE青年教職員獎學金和香港博士獎學金。
Khursheed Aurangazeb 是沙烏地阿拉伯利雅德國王沙烏德大學計算機與信息科學學院計算機工程系的副教授。他擁有來自瑞典中瑞典大學的電子設計博士學位。擁有超過17年的數據分析、機器學習和嵌入式系統經驗，他發表了90多篇論文並領導多個研究項目。他的研究重點是嵌入式系統、信號處理及在智慧電網、精準農業和醫療保健中的機器學習應用。
