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
- Chinnadurai U, A. Vinayagam, Energy efficient routing with cluster approach in wireless networks – A literature review , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Deepa Ramachandran VR VR, Kamalraj N, Hybrid deep segmentation architecture using dual attention U-Net and Mask-RCNN for accurate detection of pests, diseases, and weeds in crops , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- S. Munawara Banu, M. Mohamed Surputheen, M. Rajakumar, Bio-Inspired and Machine Learning-Driven Multipath Routing Protocol for MANETs Using Predictive Link Analytics , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- R. Sridevi, V. S. J. Prakash, Load aware active low energy adaptive clustering hierarchy for IoT-WSN , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Komal Raichura, Asha L. Bavarava, Redefining Classroom Dynamics: AI Tools and the Future of English Language Pedagogy , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Fuzzy Supply Chain Model Evaluating Energy Management Systems under Imperfect Production and Uncertain Costs , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- R. Kalaiselvi, P. Meenakshi Sundaram, Machine learning-based ERA model for detecting Sybil attacks on mobile ad hoc networks , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- M. Monika, J. Merline Vinotha, A resilient supply chain model integrating demand variability and carbon emissions in imperfect production systems , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Brigith Gladys L, Merline Vinotha J, Sustainable fuzzy rough multi-objective multi-route cold transportation model with traffic flow and route constraints , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- A. Jafar Ali, Dr.G. Ravi, D.I. George Amalarethinam, AI-Driven Swarm-Optimized Adaptive Routing Using Quantum-Inspired Neural Scheduling with Homomorphic Encryption , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
<< < 10 11 12 13 14 15 16 17 18 19 > >>
You may also start an advanced similarity search for this article.

