Title: Smart Technologies in Manufacturing Industries
Abstract: Chapter 5 Smart Technologies in Manufacturing Industries A Useful Perspective V.M. Gobinath, V.M. Gobinath Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, IndiaSearch for more papers by this authorA. Kathirvel, A. Kathirvel Panimalar Engineering College, Chennai, Tamil Nadu, IndiaSearch for more papers by this authorS.K. Rajesh Kanna, S.K. Rajesh Kanna Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, IndiaSearch for more papers by this authorK. Annamalai, K. Annamalai VIT University, Chennai, Tamil Nadu, IndiaSearch for more papers by this author V.M. Gobinath, V.M. Gobinath Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, IndiaSearch for more papers by this authorA. Kathirvel, A. Kathirvel Panimalar Engineering College, Chennai, Tamil Nadu, IndiaSearch for more papers by this authorS.K. Rajesh Kanna, S.K. Rajesh Kanna Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, IndiaSearch for more papers by this authorK. Annamalai, K. Annamalai VIT University, Chennai, Tamil Nadu, IndiaSearch for more papers by this author Book Editor(s):Mahmoud Ragab AL-Refaey, Mahmoud Ragab AL-Refaey Information Technology Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia Mathematics Department, Faculty of Science, Al-Azhar University, Naseir City, Cairo, EgyptSearch for more papers by this authorAmit Kumar Tyagi, Amit Kumar Tyagi Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, IndiaSearch for more papers by this authorAbdullah Saad AL-Malaise AL-Ghamdi, Abdullah Saad AL-Malaise AL-Ghamdi Information Systems Department, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University (KAU), Jeddah, Saudi Arabia Information Systems Department, School of Engineering, Computing and Design, Dar Al-Hekma University, Jeddah, Saudi ArabiaSearch for more papers by this authorSwetta Kukreja, Swetta Kukreja Department of Computer Science and Engineering, Amity University, Mumbai, Maharashtra, IndiaSearch for more papers by this author First published: 05 April 2024 https://doi.org/10.1002/9781394216147.ch5 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary The evolving trend of smart technology (ST) in the manufacturing sector has become an intensive topic of research worldwide over the last few decades. The ST involved many emerging technologies like Internet of Things (IoT), Industrial Internet of Things (IIoT), cyber-physical production systems, artificial intelligence, blockchain, and systematic data analysis. We provide an overview of different STs to control the intensive features of computer and sensor technologies to dwindle the gap between humans and machines. This chapter shows the complete literature review of ST to increase the production and maintenance of machinery equipment and future threats faced by ST. This chapter also includes the survey report on the rate of adoption for the past five years to obtain real-time results, cost-effective techniques, and the use of different sensors to reduce human workload in the manufacturing sector. References Deshmukh , A. , Patil , D.S. , Soni , G. , and Tyagi , A.K. ( 2023 ). Cyber security: new realities for Industry 4.0 and society 5.0 . In: Handbook of Research on Quantum Computing for Smart Environments (ed. A. Tyagi ), 299 – 325 IGI Global . 10.4018/978-1-6684-6697-1.ch017 . 10.4018/978-1-6684-6697-1.ch017 Google Scholar Hedberg , T.D. , Bajaj , M. , and Camelio , J.A. ( 2019 ). Using graphs to link data across the product lifecycle for enabling smart manufacturing digital threads . ASME Journal of Computing and Information Science in Engineering 1 : 213 – 224 . Google Scholar Kusiak , A. ( 2018 ). Smart manufacturing . International Journal of Production Research 56 ( 2 ): 508 – 517 . 10.1080/00207543.2017.1351644 Web of Science®Google Scholar Kusiak , A. ( 2019 ). Fundamentals of smart manufacturing: a multi-thread perspective . Annual Reviews in Control 47 ( 2019 ): 214 – 220 . 10.1016/j.arcontrol.2019.02.001 Google Scholar Khan , W.H. , Rehman , M.H. , Zangoti , H.M. et al. ( 2020a ). Industrial internet of things: recent advances, enabling technologies and open challenges . Computers and Electrical Engineering 81 : 1 – 13 . 10.1016/j.compeleceng.2019.106522 Web of Science®Google Scholar Kute , S.S. , Tyagi , A.K. , and Aswathy , S.U. ( 2022 ). Industry 4.0 challenges in e-Healthcare applications and emerging technologies . In: Intelligent Interactive Multimedia Systems for e-Healthcare Applications (ed. A.K. Tyagi , A. Abraham , and A. Kaklauskas ). Singapore : Springer http://dx.doi.org/10.1007/978-981-16-6542-4_1 . 10.1007/978-981-16-6542-4_14 Google Scholar Kathirvel , A. , Sudha , D. , Naveneethan , S. , Subramaniam , M. , Das , D. and Kirubakaran , S. ( 2022 ). AI Based Mobile Bill Payment System using Biometric Fingerprint . American Journal of Engineering and Applied Sciences 15 ( 1 ): 23 – 31 . https://doi.org/10.3844/ajeassp.2022.23.31 10.3844/ajeassp.2022.23.31 Google Scholar Nair , M.M. , Tyagi , A.K. , and Sreenath , N. ( 2021 ). The future with industry 4.0 at the core of society 5.0: open issues, future opportunities and challenges , 2021 International Conference on Computer Communication and Informatics (ICCCI) . 1 – 7 . http://dx.doi.org/10.1109/ICCCI50826.2021.9402498 . 10.1109/ICCCI50826.2021.9402498 Google Scholar Qi , Q. and Tao , F. ( 2019 ). A smart manufacturing service system based on edge computing, fog computing, and cloud computing . IEEE Access 7 : 86769 – 86777 . 10.1109/ACCESS.2019.2923610 Web of Science®Google Scholar Yao , X. , Zhou , J. , Lin , Y. et al. ( 2019 ). Smart manufacturing based on cyber-physical systems and beyond . Journal of Intelligent Manufacturing 30 : 2805 – 2817 . 10.1007/s10845-017-1384-5 Web of Science®Google Scholar Yuqian , L. , Liu , C. , Kevin , I. et al. ( 2020 ). Digital twin-driven smart manufacturing: connotation, reference model, applications and research issues . Robotics and Computer-Integrated Manufacturing 61 : 1 – 14 . Google Scholar Topics in Artificial Intelligence Applied to Industry 4.0 ReferencesRelatedInformation
Publication Year: 2024
Publication Date: 2024-04-05
Language: en
Type: other
Indexed In: ['crossref']
Access and Citation
Cited By Count: 7
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot