AI-Driven Sustainable Supply Chain Framework for Polymer Composite Production

Year : 2025 | Volume : 13 | Issue : 05 | Page : 219 235
    By

    Indrajit Ghosal,

  • Deepika Saxena,

  • Ritam Rajak,

  • Kapil Gulati,

  • Seema Kaloria,

  1. Associate Professor, Department of Management, Brainware University, Kolkata, West Bengal, India
  2. Associate Professor, Department of Computer science and Engineering, Poornima University, Jaipur, Rajasthan, India
  3. Assistant Professor, Department of CSE AI&ML, Moodlakatte Institute of Technology, Kundapur, Karnataka, India
  4. Assistant Professor, Department of Computer science and Application, Poornima University, Jaipur, Rajasthan, India
  5. Assistant Professor, Department of Computer science and Application, Poornima University, Jaipur, Rajasthan, India

Abstract

As polymer composite processes become more difficult and environmental concerns increase, old supply chain models that just look at cost and operations have shown significant weaknesses when it comes to sustainability. The rising demand for environmentally friendly practices throughout a product’s life cycle requires a new process that makes sustainability a key element in making supply chain choices. The proposed framework was developed in response to this need by using AI to support sustainable supply chain management in the polymer composite sector and includes strong environmentally focused elements throughout the process. The proposed framework is structured into five interdependent layers, encompassing real-time data acquisition, sustainability-embedded predictive modeling, multi-objective optimization, adaptive feedback monitoring, and automated sustainability assessment. It seeks to replace traditional, budget-focused supply chains with clever, flexible, and green options. Applying advanced AI to the handling of materials’ life cycles, the framework assists organizations in better managing environmental problems, maximizing resources, and making their operations follow circular economy theories. The benefits of using the framework can be improved operational sustainability, major cuts in carbon emissions, an increase in material recycling, and compliance with anticipated global sustainability rules. The model is recommended for use and refinement by industrial practitioners, members of academia, policymakers, and system developers. Adding AI into the supply of composite materials greatly contributes to the goal of having intelligent, flexible, and sustainable industrial systems.

Keywords: Polymer composite, sustainable supply chain management, environmental sustainability, circular economy, artificial intelligence.

[This article belongs to Journal of Polymer and Composites ]

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How to cite this article:
Indrajit Ghosal, Deepika Saxena, Ritam Rajak, Kapil Gulati, Seema Kaloria. AI-Driven Sustainable Supply Chain Framework for Polymer Composite Production. Journal of Polymer and Composites. 2025; 13(05):219-235.
How to cite this URL:
Indrajit Ghosal, Deepika Saxena, Ritam Rajak, Kapil Gulati, Seema Kaloria. AI-Driven Sustainable Supply Chain Framework for Polymer Composite Production. Journal of Polymer and Composites. 2025; 13(05):219-235. Available from: https://journals.stmjournals.com/jopc/article=2025/view=225280


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Regular Issue Subscription Review Article
Volume 13
Issue 05
Received 27/06/2025
Accepted 02/08/2025
Published 19/08/2025
Publication Time 53 Days
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