000 06697nam a22003017a 4500
008 241218s2025 |||||||| |||| 00| 0 eng d
020 _a9781032753270
022 _l9781032753270
041 _aeng
082 _a670.285
_bTYA
100 _aTyagi, Amit Kumar
_9883641
_eED
245 _aIndustry 4.0 Smart Manufacturing and Industrial Engineering Challenges and Opportunities
250 _a1st
260 _aBoca Raton, FL :
_bCRC Press,
_cc2025
300 _axxiv, 364 p.
_b: ill
490 _aAdvances in Intelligent Decision Making Systems Engineering and Project Management
500 _aBiography 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.
504 _aYY
520 _aSummary: Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the profound impact of Industry 4.0, which involves the seamless integration of digital technologies into manufacturing processes within the realm of industrial engineering. Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities thoroughly examines the intricate facets of Industry 4.0 and Smart Manufacturing, offering a comprehensive overview of the challenges and opportunities that this paradigm shift presents to industrial engineers. It provides practical insights and strategies to help professionals navigate the complexities of this evolving landscape. Fundamental components of Industry 4.0 and Smart Manufacturing, ranging from the incorporation of sensors and data analytics to the deployment of cyber-physical systems and the promotion of sustainable practices are covered in detail. The book addresses the obstacles and prospects brought about by Industry 4.0 in the digital age and offers solutions to issues such as data security, interoperability, and workforce preparedness. The book sheds light on how Industry 4.0 combines various disciplines, including engineering technology, data science, and management. It serves as a valuable resource for researchers, undergraduate and postgraduate students, as well as professionals operating in the field of industrial engineering and related domains.
650 0 _949282
_aManufacturing Processes Automation
650 0 _9883781
_aArtificial Intelligence Forecasting
650 0 _954808
_aIndustry 4.0
700 _eED
_aTiwari, Shrikant
_9883782
700 _eED
_aAhmad, Sayed Sayeed
_9883783
856 _yToC
_uhttps://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781032753270.pdf
856 _yWeb Link
_uhttps://www.routledge.com/Industry-40-Smart-Manufacturing-and-Industrial-Engineering-Challenges-and-Opportunities/KumarTyagi-Tiwari-Ahmad/p/book/9781032753270?srsltid=AfmBOor5bA9K61hbeXgaJtZVMupObOiRqRn3Ww86U7Pw7rA-canC2s8H
942 _2ddc
_cBOO
999 _c815394
_d815394