Industry 4.0 Driven Manufacturing Technologies
暫譯: 工業4.0驅動的製造技術

這本書是關於製造業最新進展的綜合指南，採用了工業4.0的方法。它涵蓋了大數據資訊學、數位雙胞胎技術、人工智慧和機器學習策略的核心原則。讀者將深入了解生產中的網路物理智能系統、區塊鏈的角色以及資訊與通信技術的重要性。

本書專注於實時監控和數據獲取，提供了製造系統在線錯誤排除的實用解決方案。它探討了基於工業4.0的各種應用製造技術，並解決了生產動態市場所帶來的挑戰。

鑑於在工業4.0背景下缺乏關於製造進展的統一資源，作者們主動彙編了來自領域專家的寶貴知識。他們的目標是通過這本書傳播這些見解。

這本書將對各種利益相關者有益，包括行業、專業人士、學術界、研究學者、高年級研究生以及人類健康領域的從業者。由於其全面的內容，本書是技術機構圖書館的重要參考資料，也是高年級研究生的有用讀物。

Prof. Ajay Kumar is currently serving as a Professor in Department of Mechanical Engineering, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. His areas of research include Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Waste Management, and Optimization Techniques. He has over 140 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has also co-authored and co-edited more than 20 books and proceedings with ELSEVIER, Springer, CRC Press, WILEY, De Gruyter, IOP, AIP and IGI Global. He has organized various national and international events including an International conference on Mechatronics and Artificial Intelligence (ICMAI-2021), International conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023) as conference chair. He has more than 20 national and international patents to his credit. He has supervised more than 8 M.Tech, Ph.D scholars and numerous undergraduate projects/ thesis. He has a total of 15 years of experience in teaching and research. He is Guest Editors and Review Editor of the reputed journals including Frontiers in Sustainability. He has contributed to many international conferences/ symposiums as a session chair, expert speaker, and member of the editorial board. He has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. He is adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. He has organized a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. He is associated with many research, academic, and professional societies in various capacities. ORCID ID: https: //orcid.org/0000-0001-7306-1902

Parveen Kumar is currently serving as an Assistant Professor and Head in Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. He has submitted Ph.D. from National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M.Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include Intelligent Manufacturing Systems, Materials; Die less Forming, Design of Automotive systems, Additive Manufacturing, CAD/CAM and Artificial Intelligence, machine learning and Internet of Things in manufacturing, multi objective optimization techniques. He has over 50 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has 8 national and international patents in his credit. He has supervised 2 M.Tech. scholars and numerous undergraduate projects/theses. He has a total of 13 years of experience in teaching and research. He has co-authored/co-edited several books with ELSEVIER, CRC Press, WILEY, De Gruyter and IGI Global. He is also book series editor of "Industrial and Manufacturing Systems and Technologies: Sustainable and Intelligent Perspectives" in CRC Press, Taylor and Francis. He has organized a series of Faculty Development Programmes, workshops, and seminar for researcher, UG level students.
ORCID ID: https: //orcid.org/0000-0002-2922-6228

Dr. Yang Liu received the M.Sc. (Tech.) degree in telecommunication engineering and D.Sc. (Tech.) degree in industrial management from the University of Vaasa, Finland, in 2005 and 2010, respectively. He is currently a tenured Associate Professor and Doctoral Supervisor with the Department of Management and Engineering, Linköping University, Sweden; a Visiting Faculty with the Department of Production, University of Vaasa, Finland; and a Chair Professor with Jinan University, China. Meanwhile, he is an Adjunct/Visiting Professor at multiple other universities. His research interests include sustainable smart manufacturing, product service innovation, decision support system, competitive advantage, control systems, autonomous robots, signal processing, and pattern recognition.
Prof. Liu has authored or co-authored more than 130 peer-reviewed scientific articles and is ranked No.1 among the top authors on "big data analytics in manufacturing". His publications have appeared in multiple distinguished journals, and some ranked as top 0.1% ESI Hot Papers and top 1% ESI Highly Cited Papers. He serves as an Associate Editor of the prestigious Journal of Cleaner Production and Journal of Intelligent Manufacturing, referees in over 60 SCI leading journals, and external reviewer for NSERC of Canada and CONICYT of Chile.

教授 Ajay Kumar 目前擔任印度拉賈斯坦邦齋浦爾 JECRC 大學工程與技術學院機械工程系的教授。他在印度希沙爾的古魯詹比斯瓦大學獲得了先進製造領域的博士學位，並在機械工程獲得榮譽學士學位 (B.Tech. (Hons.)) 和在製造與自動化獲得優異碩士學位 (M.Tech. (Distinction))。他的研究領域包括增量成形、人工智慧、可持續材料、增材製造、機電一體化、智慧製造、工業 4.0、廢物管理和優化技術。他在包括 SCOPUS、Web of Science 和 SCI 索引的國際期刊上發表了超過 140 篇論文，並參加了多個國際會議。他還與 ELSEVIER、Springer、CRC Press、WILEY、De Gruyter、IOP、AIP 和 IGI Global 共同編著和編輯了超過 20 本書籍和會議論文集。他組織了多個國內外活動，包括 2021 年的機電一體化與人工智慧國際會議 (ICMAI-2021) 和 2023 年的人工智慧、先進材料與機電系統國際會議 (AIAMMS-2023)，擔任會議主席。他擁有超過 20 項國內外專利，並指導了超過 8 名碩士和博士研究生以及多個本科專案/論文。他在教學和研究方面擁有 15 年的經驗。他是《可持續性前沿》等知名期刊的客座編輯和審稿編輯，並在多個國際會議/研討會中擔任會議主席、專家演講者和編輯委員會成員。在職業生涯中，他獲得了多項優秀獎，包括優異獎、最佳教師獎等。他是 JECRC 大學 QCFI 德里分會學生小組的顧問，並撰寫了多本內部課程講義、實驗手冊、專著和書籍中的邀請章節。他為研究人員、博士生、本科生和碩士生組織了一系列教師發展計畫、國際會議、工作坊和研討會。他以多種身份與多個研究、學術和專業社團有關聯。ORCID ID: https://orcid.org/0000-0001-7306-1902

Parveen Kumar 目前擔任印度哈里亞納邦法里達巴德 Rawal 工程與技術學院機械工程系的助理教授及系主任。他在印度哈里亞納邦庫魯克舍特拉國立技術學院提交了博士學位。他在印度庫魯克舍特拉大學獲得了榮譽學士學位 (B.Tech. (Hons.))，並在印度羅塔克的馬哈希大亞南德大學獲得了製造與自動化的優異碩士學位 (M.Tech. (Distinction))。他的研究領域包括智能製造系統、材料、無模成形、汽車系統設計、增材製造、CAD/CAM、人工智慧、機器學習和製造中的物聯網、多目標優化技術。他在包括 SCOPUS、Web of Science 和 SCI 索引的國際期刊上發表了超過 50 篇論文，並擁有 8 項國內外專利。他指導了 2 名碩士研究生和多個本科專案/論文，並在教學和研究方面擁有 13 年的經驗。他與 ELSEVIER、CRC Press、WILEY、De Gruyter 和 IGI Global 共同編著/編輯了幾本書籍。他還是 CRC Press、Taylor and Francis 出版的《工業與製造系統及技術：可持續與智能視角》系列書籍的編輯。他為研究人員和本科生組織了一系列教師發展計畫、工作坊和研討會。ORCID ID: https://orcid.org/0000-0002-2922-6228

楊劉博士於 2005 年和 2010 年分別在芬蘭瓦薩大學獲得電信工程碩士學位 (M.Sc. (Tech.)) 和工業管理博士學位 (D.Sc. (Tech.))。他目前是瑞典林雪平大學管理與工程系的終身副教授及博士生導師；芬蘭瓦薩大學生產系的訪問教授；以及中國濟南大學的講座教授。同時，他還是多所其他大學的兼任/訪問教授。他的研究興趣包括可持續智慧製造、產品服務創新、決策支持系統、競爭優勢、控制系統、自主機器人、信號處理和模式識別。劉教授已發表或共同發表超過 130 篇經過同行評審的科學文章，並在「製造中的大數據分析」領域的頂尖作者中排名第一。他的出版物出現在多個知名期刊上，其中一些被評為前 0.1% ESI 熱點論文和前 1% ESI 高引用論文。他擔任《清潔生產期刊》和《智能製造期刊》的副編輯，並在超過 60 本 SCI 領先期刊中擔任審稿人，還是加拿大 NSERC 和智利 CONICYT 的外部審查員。