Evaluating dynamics, security, and performance metrics for smart manufacturing
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.30Keywords:
Internet of things, Smart manufacturing, Data analytics, Security, Sensors, Sustainability.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The role of the Internet of Things (IoT) in Smart Manufacturing, aimed to illuminate its transformative impact on operational efficiency, responsiveness, and environmental sustainability. The aim of the investigation was to explore IoT's pivotal significance in reshaping manufacturing processes towards heightened efficiency, responsiveness, and environmental consciousness. The study presents results from performance metric assessments, visualizations, and data simulations. It contains information about way IoT data is shown in manufacturing environments, the clear relationship between temperature and pressure, the distribution of security risks and related safety measures, and the dynamic behaviour of important IoT components. The importance of IoT in real-time environmental management, process optimization, and security enhancement within paradigms of smart manufacturing are the key points of observation. The comparative analysis of Conventional Analytical Models and Composite Models highlights the choice between stability and adaptability, providing crucial insights for modeling approaches tailored to distinct manufacturing requirements. IoT's transformative potential within Smart Manufacturing, emphasizing data integrity, security, sensor dynamics, analytics, and sustainability.Abstract
How to Cite
Downloads
Similar Articles
- A. Jafar Ali, G. Ravi, D.I. George Amalarethinam, AI-Integrated Swarm-Powered Self-Scheduling Routing for Heterogeneous Wireless Sensor Networks to Maximize Network Lifetime , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Ahmed Mustefa, Efficacy of coffee farmers’ cooperatives in Gimbo Woreda, Kafa Zone, Ethiopia , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Jayendra K. Singh, Gyan P. Singh, Sanjay K. Singh, Son preference and children sex composition in Uttar Pradesh: An empirical analysis , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- K. S. Deepika, Ajay Massand, Influence of Social Media Marketing on Purchase Intention of Gen Z , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- M. Prabhu, A. Chandrabose, Improving the resource allocation with enhanced learning in wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Abhishek Dwivedi, Shekhar Verma, SCNN Based Classification Technique for the Face Spoof Detection Using Deep Learning Concept , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Abhishek Pandey, V Ramesh, Puneet Mittal, Suruthi, Muniyandy Elangovan, G.Deepa, Exploring advancements in deep learning for natural language processing tasks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Rakhimov S. Bekturdievich, Grave structures of the population of the lower part of the Amudarya in the islamic period (On the example of archeological monuments of IX-XIII centuries) , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Kinjal K. Patel, Kiran Amin, Predictive modeling of dropout in MOOCs using machine learning techniques , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- J. Helan Shali Margret, N. Amsaveni, Application of Lotka’s law in Indian cytokine publications: A scientometric study based on web of science during 1998 TO 2022 , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 22 23 24 25 26 27 28 29 30 31 > >>
You may also start an advanced similarity search for this article.

