Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities
暫譯: 工業4.0、智慧製造與工業工程：挑戰與機遇

產業 4.0 是一個革命性的概念，旨在通過實施智慧製造技術來提升各行各業的生產力和盈利能力。本書討論了產業 4.0 的深遠影響，這涉及到數位技術在工業工程領域的製造過程中的無縫整合。

《產業 4.0、智慧製造與工業工程：挑戰與機會》深入探討了產業 4.0 和智慧製造的複雜面向，提供了對這一範式轉變所帶來的挑戰和機會的全面概述，特別是對工業工程師的影響。它提供了實用的見解和策略，幫助專業人士應對這一不斷演變的環境中的複雜性。本書詳細涵蓋了產業 4.0 和智慧製造的基本組成部分，從傳感器和數據分析的整合到網路物理系統的部署以及可持續實踐的推廣。書中還探討了產業 4.0 在數位時代帶來的障礙和前景，並提供了針對數據安全、互操作性和勞動力準備等問題的解決方案。

本書闡明了產業 4.0 如何結合多個學科，包括工程技術、數據科學和管理。它是研究人員、本科生和研究生以及在工業工程及相關領域工作的專業人士的重要資源。

Amit Kumar Tyagi is an Assistant Professor, at the National Institute of Fashion Technology, New Delhi, India. Previously he worked as an Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India from 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. He joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) from 2009 to 2010, and 2012 to 2013. He was an Assistant Professor and head researcher at Lingaya's Vidyapeeth (formerly known as Lingaya's University), India from 2018 to 2019. He supervised one PhD thesis and more than ten Master dissertations. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber-Physical Systems (MCPS). He has published over 200 papers in refereed high-impact journals, conferences, and books, and some of his articles won best paper awards. Also, he has filed more than 25 patents (Nationally and Internationally) in the areas of Deep Learning, Internet of Things, Cyber-Physical Systems, and Computer Vision. He has edited more than 25 books for IET, Elsevier, Springer, CRC Press, etc. Additionally, he has authored 4 Books on Intelligent Transportation Systems, Vehicular Ad-hoc Network, Machine learning and Internet of Things, with IET UK, Springer Germany, and BPB India publisher. He won the Faculty Research Award of the Year for 2020, 2021, and 2022 consecutively, given by Vellore Institute of Technology, Chennai, India. Recently, he was awarded the best paper award for his paper "A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient", in ICCSA 2020, Italy (Europe). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, IEEE, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, Universal Scientific Education and Research Network, CSI, and ISTE.

Shrikant Tiwari (Senior Member, IEEE) received his Ph.D. in the Department of Computer Science & Engineering (CSE) from the Indian Institute of Technology (Banaras Hindu University), Varanasi (India) in 2012 and his M. Tech. in Computer Science and Technology from the University of Mysore (India) in 2009. Currently, he is working as an Associate Professor in the Department of Computer Science & Engineering (CSE) School of Computing Science and Engineering (SCSE) at Galgotias University (India). He has authored or co-authored more than 75 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a member of ACM, IET, FIETE, CSI, ISTE, IAENG, SCIEI. He is also a guest editorial board member and a reviewer for many international journals of repute.

Sayed Sayeed Ahmad is a seasoned academician with nearly 20 years of experience in the educational sector across the UAE. He earned his Ph.D. in Management from Banasthali Vidyapith, India, and another Ph.D. in Computer Science and Engineering from Integral University, India. Dr. Ahmad has served at prestigious institutions like De Montfort University Dubai, Rochester Institute of Technology Dubai, University of Dubai, and Al Ghurair University Dubai, showcasing his expertise in a wide array of subjects from machine learning to computer engineering. His contributions extend beyond teaching to include curriculum development, quality assurance, and research with publications and patents in advanced technology fields.

**阿米特·庫馬爾·泰亞吉**（Amit Kumar Tyagi）是印度新德里國立時尚技術學院的助理教授。之前，他於2019年至2022年在印度金奈的維洛爾科技學院（Vellore Institute of Technology, VIT）擔任助理教授（高級2級）及高級研究員。他於2018年在印度龐迪榭里中央大學獲得全日制博士學位。他於2009年至2010年及2012年至2013年在加茲亞巴德的克里希納工程學院（Lord Krishna College of Engineering, LKCE）任教。他於2018年至2019年在印度的林蓋亞大學（Lingaya's University，現稱林蓋亞學院）擔任助理教授及首席研究員。他指導過一篇博士論文及十多篇碩士論文。他參與了多個項目，如「AARIN」和「P3-Block」，以解決與車輛應用（如停車）及醫療網絡物理系統（MCPS）相關的隱私洩露問題。他在高影響力的期刊、會議及書籍上發表了超過200篇論文，其中一些文章獲得最佳論文獎。此外，他在深度學習、物聯網、網絡物理系統及計算機視覺等領域申請了超過25項專利（國內及國際）。他為IET、Elsevier、Springer、CRC Press等編輯了超過25本書籍。此外，他還與IET UK、Springer Germany及BPB India出版社合著了4本關於智能交通系統、車輛自組網、機器學習及物聯網的書籍。他連續三年（2020、2021及2022年）獲得金奈維洛爾科技學院頒發的年度教學研究獎。最近，他因其論文「基於改進的方向梯度直方圖的新特徵提取器」在2020年意大利的ICCSA會議上獲得最佳論文獎。他目前的研究重點是下一代機器通信、區塊鏈技術、智能安全計算及隱私。他是ACM、IEEE、MIRLabs、拉馬努詹數學學會、密碼學研究學會、全球科學教育與研究網絡、CSI及ISTE的正式成員。

**施里坎特·提瓦里**（Shrikant Tiwari）（IEEE高級會員）於2012年在印度瓦拉納西的印度理工學院（Banaras Hindu University）計算機科學與工程系獲得博士學位，並於2009年在印度邁索爾大學獲得計算機科學與技術的碩士學位。目前，他在印度加爾戈提亞大學（Galgotias University）計算機科學與工程系擔任副教授。他已發表或共同發表超過75篇國內外期刊文章、書籍章節及會議論文。他擁有五項專利。他的研究興趣包括機器學習、深度學習、計算機視覺、醫學影像分析、模式識別及生物識別。提瓦里博士是ACM、IET、FIETE、CSI、ISTE、IAENG及SCIEI的成員。他還是多本國際知名期刊的客座編輯委員及審稿人。

**賽義德·賽義德·艾哈邁德**（Sayed Sayeed Ahmad）是一位經驗豐富的學者，在阿聯酋的教育界擁有近20年的經驗。他在印度巴納斯塔利大學獲得管理學博士學位，並在印度整合大學獲得計算機科學與工程的另一個博士學位。艾哈邁德博士曾在德蒙福特大學迪拜校區、羅切斯特理工學院迪拜校區、迪拜大學及阿爾古賴爾大學迪拜校區任教，展現了他在從機器學習到計算機工程等多個學科的專業知識。他的貢獻不僅限於教學，還包括課程開發、質量保證及研究，並在先進技術領域發表了多篇論文及申請了專利。