Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies
Kumar, Ajay, Parveen, Liu, Yang
- 出版商: CRC
- 出版日期: 2024-08-28
- 售價: $6,620
- 貴賓價: 9.5 折 $6,289
- 語言: 英文
- 頁數: 347
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032519835
- ISBN-13: 9781032519838
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商品描述
Intelligent and sustainable manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the production system, efficient production, and recyclability. This handbook provides compiled knowledge of intelligent and sustainable manufacturing within the context of Industry 4.0. along with tools, principles, and strategies.
Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies offers recent developments, future outlooks, and advanced and analytical modeling techniques of intelligent and sustainable manufacturing with examples backed up by experimental and numerical data. It bridges the gap between R&D in intelligent and sustainable manufacturing-related fields and presents case studies and solutions alongside social and green environmental impact. The handbook includes a wide range of advanced tools and applications with modeling results and explains how different internet technologies integrate the manufacturing approach with people, products, and complex systems. By encompassing advanced technologies such as digital twins, big data informatics, artificial intelligence, nature-inspired algorithms, IoT, Industry 4.0, simulation approaches, analytical strategies, quality tools, roots and pillars, diagnostic tools, and methodical strategies, this handbook provides the most up-to-date and advanced information source available.
This handbook will help industries and organizations to implement intelligent manufacturing and move towards the sustainability of manufacturing practices. It will also serve as a reference for senior graduate-level courses in mechanical, production, industrial, and aerospace engineering and a value-added asset to libraries of all technical institutions.
商品描述(中文翻譯)
智能與可持續製造是一個廣泛的製造類別,採用計算機整合製造、高度的適應性和快速的設計變更、數位資訊技術,以及更靈活的技術人力培訓。其他目標有時還包括根據需求快速變更生產水平、優化生產系統、高效生產和可回收性。本手冊提供了在工業4.0背景下有關智能與可持續製造的綜合知識,以及工具、原則和策略。
《智能與可持續製造手冊:工具、原則與策略》提供了智能與可持續製造的最新發展、未來展望以及先進的分析建模技術,並以實驗和數值數據支持的範例為依據。它彌補了智能與可持續製造相關領域的研發之間的差距,並展示了案例研究和解決方案,考量社會和環境的綠色影響。該手冊包括各種先進工具和應用,並提供建模結果,解釋不同的網際網路技術如何將製造方法與人員、產品和複雜系統整合在一起。通過涵蓋數位雙胞胎、大數據資訊學、人工智慧、自然啟發算法、物聯網、工業4.0、模擬方法、分析策略、質量工具、根基與支柱、診斷工具和系統化策略,本手冊提供了最新和最先進的資訊來源。
本手冊將幫助產業和組織實施智能製造,並朝向製造實踐的可持續性邁進。它也將作為機械、製造、工業和航空航天工程高年級研究生課程的參考資料,並成為所有技術機構圖書館的增值資產。
作者簡介
Prof. (Dr.) Ajay Kumar is currently serving as a Professor in the Department of Mechanical Engineering in the School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing and Automation 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 Biomedical Engineering, Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Robotics and Automation, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Industrial Engineering Systems, Waste Management, and Optimization Techniques. Dr. Kumar has over 80 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has organized various national and international events including an international conference on Mechatronics and Artificial Intelligence (ICMAI-2021) as conference chair. He also organized an 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 and has supervised more than 8 M. Tech, and Ph. D. scholars and numerous undergraduate projects/thesis. He has a total of 15 years of experience in teaching and research and have been a Guest Editor of many reputed journals. He has contributed to many international conferences/symposiums as a session chair, expert speaker, and member of the editorial board and has won several proficiency awards during his career, including merit awards and best teacher awards. He has also co-authored and co-edited more than 15 books and proceedings and has authored many in-house course notes, lab manuals, monographs, and invited chapters in books. Dr. Kumar has organized a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, Ph.D., UG, and PG-level students and is associated with many research, academic, and professional societies in various capacities.
Mr. Parveen is currently serving as an Assistant Professor and Head in the Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. He is pursuing his 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. He has over 20 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 to his credit and has supervised more than 10 M.Tech. scholars and numerous undergraduate projects/theses. Dr. Parveen has a total of 12 years of experience in teaching and research and has co-authored/co-edited several books. 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, and Multi Objective Optimization techniques. He has also organized a series of Faculty Development Programmes, workshops, and seminars for researcher, and UG level students.
Dr. Yang Liu received an 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. Dr. 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.
Rakesh Kumar is currently serving as the Vice President Operations, Sigma Electric Manufacturing Corporation Pvt Ltd, Sigma Engineered Solutions, Jaipur, Rajasthan, India. He received his Master of Science (MS) in Quality Management from BITS-Pilani, India after B.E from same institute. He is also Six Sigma Black Belt certified from ASQ. He has also worked in multinational companies like Asahi Glass, Bawal, India and Rieter Automotive, India. In current company (Sigma) he is leading operations of five world class manufacturing plants. He has worked on improving human efficiencies, Robotics, advanced machining, Automatic loading and unloading, and human less material transferring. He has a total of 20 years of experience in manufacturing industries. He is members of Indian Institute of Foundry (IFEX) and Confederation of Indian Industries (CII). He has contributed to many conferences as a session chair and expert speaker and has won several proficiency awards during his career, including Operations Excellence awards, best Quality award, and the Zero PPM award. He is an Enterprising Leader with a strong record of contributions in streamlining operations & procedures, invigorating businesses, aiming for senior level assignments in Strategic Planning, Operational Excellence, Plant Operations, Business Management, Stakeholder Management, and Team Management with high repute. His areas of experts are Manufacturing Excellence, Industry 4.0, Waste management, and optimization techniques.
作者簡介(中文翻譯)
Prof. (Dr.) 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Guru Jambheshwar科學與技術大學獲得了先進製造與自動化領域的博士學位,並在機械工程獲得榮譽學士學位及在製造與自動化獲得優異碩士學位。他的研究領域包括生物醫學工程、增量板材成形、人工智慧、可持續材料、機器人與自動化、增材製造、機電一體化、智慧製造、工業4.0、工業工程系統、廢物管理及優化技術。Kumar博士在包括SCOPUS、Web of Science和SCI索引的國際知名期刊上發表了超過80篇論文,並參加了多個國際會議。他作為會議主席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)及2023年的人工智慧、先進材料與機電系統國際會議(AIAMMS-2023)。他擁有超過20項國內外專利,並指導了超過8名碩士及博士研究生及多個本科專案/論文。他在教學和研究方面擁有15年的經驗,並曾擔任多本知名期刊的客座編輯。他在多個國際會議/研討會中擔任會議主席、專家演講者及編輯委員會成員,並在職業生涯中獲得多項優秀獎項,包括優異獎和最佳教師獎。他還共同編著和編輯了超過15本書籍和會議論文集,並撰寫了許多內部課程講義、實驗手冊、專著及書籍中的邀請章節。Kumar博士組織了一系列的教師發展計畫、國際會議、工作坊和研討會,針對研究人員、博士生及本科生,並以各種身份參與多個研究、學術及專業社團。
Mr. Parveen目前擔任印度哈里亞納邦法里達巴德Rawal工程與技術學院的助理教授及系主任。他正在哈里亞納邦的國立技術學院庫魯克舍特拉攻讀博士學位。他在庫魯克舍特拉大學獲得榮譽學士學位,並在印度羅塔克的Maharshi Dayanand大學獲得優異碩士學位,專攻製造與自動化。他在包括SCOPUS、Web of Science和SCI索引的國際知名期刊上發表了超過20篇論文,並擁有8項國內外專利,指導了超過10名碩士研究生及多個本科專案/論文。Parveen博士在教學和研究方面擁有12年的經驗,並共同編著了幾本書籍。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及人工智慧、機器學習和製造中的物聯網,以及多目標優化技術。他還組織了一系列的教師發展計畫、工作坊和研討會,針對研究人員及本科生。
Dr. Yang Liu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和工業管理博士學位。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;同時也是瓦薩大學生產系的訪問教員。