Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes

Year : 2024 | Volume : | : | Page : –
By

Dr. Tarun Madan Kanade,

Prof. Dipeeka Chavan,

Prof. Manisha Pagar,

Dr. Jonathan Joseph,

Prof. Shriya Gokhale,

CMA Rajendra Shirsat,

  1. Assistant Professor, Department of Management, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, India
  2. Assistant Professor, Department of Management, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, India
  3. Assistant Professor, Department of Management, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, India
  4. Assistant Professor, Department of Management, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, India
  5. Assistant Professor, Department of Management, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, India
  6. Assistant Professor, Department of Management, Sandip Institute of Technology and Research Centre, Nashik, Maharashtra, India

Abstract

Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time information on equipment performance, ambient conditions, and product quality. AI systems may use this data to discover trends, forecast prospective problems, and optimize production settings, decreasing waste and increasing resource usage. Integrating these technologies can lead to predictive maintenance, reducing downtime and operational costs, and ensuring compliance with environmental and safety standards. This paper reviews the current state of IoT and AI integration in the polymer industry, discusses the technical challenges and opportunities, and presents case studies demonstrating successful implementations. Additionally, we propose a framework for the systematic deployment of IoT and AI in polymer production, emphasizing the importance of data security, interoperability, and scalability. The findings suggest that the combined use of IoT and AI can significantly enhance the resilience and sustainability of polymer production processes, positioning the industry to better meet the demands of the modern market.  

Keywords: Internet of Things (IoT), Artificial Intelligence (AI), Polymer Production, Real-Time Monitoring, Process Management, Sustainability, Predictive Maintenance, Data Analytics.

How to cite this article:
Dr. Tarun Madan Kanade, Prof. Dipeeka Chavan, Prof. Manisha Pagar, Dr. Jonathan Joseph, Prof. Shriya Gokhale, CMA Rajendra Shirsat. Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes. Journal of Polymer and Composites. 2024; ():-.
How to cite this URL:
Dr. Tarun Madan Kanade, Prof. Dipeeka Chavan, Prof. Manisha Pagar, Dr. Jonathan Joseph, Prof. Shriya Gokhale, CMA Rajendra Shirsat. Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes. Journal of Polymer and Composites. 2024; ():-. Available from: https://journals.stmjournals.com/jopc/article=2024/view=177291

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Ahead of Print Subscription Review Article
Volume
Received 03/09/2024
Accepted 25/09/2024
Published 07/10/2024
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